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ORCIDAlejandro Ribeiro
Person information
- affiliation: University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA
- affiliation (PhD 2007): University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
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2020 – today
- 2025
[j160]Anastasios Tsiamis, Dionysis Kalogerias, Alejandro Ribeiro, George J. Pappas:
Linear quadratic control with risk constraints. Autom. 174: 112095 (2025)- [j159]Juan Cerviño, Md Asadullah Turja, Hesham Mostafa, Nageen Himayat, Alejandro Ribeiro:
Distributed Training of Large Graph Neural Networks With Variable Communication Rates. IEEE Trans. Signal Inf. Process. over Networks 11: 413-426 (2025) - [j158]Sourajit Das
, Navid Naderializadeh, Alejandro Ribeiro:
Learning State-Augmented Policies for Information Routing in Communication Networks. IEEE Trans. Signal Process. 73: 204-218 (2025) - [j157]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions. IEEE Trans. Signal Process. 73: 1549-1561 (2025) - [c319]Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro:
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. AAAI 2025: 20200-20208 - [c318]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Graph Neural Networks Is Robust to Model Mismatch. AAAI 2025: 21402-21410 - [c317]Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro:
Learning Efficient Positional Encodings with Graph Neural Networks. ICLR 2025 - [i232]Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks. CoRR abs/2501.01510 (2025) - [i231]Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien:
Feasible Learning. CoRR abs/2501.14912 (2025) - [i230]Charilaos I. Kanatsoulis, Evelyn Choi, Stephanie Jegelka, Jure Leskovec, Alejandro Ribeiro:
Learning Efficient Positional Encodings with Graph Neural Networks. CoRR abs/2502.01122 (2025) - [i229]Sourajit Das, Navid Naderializadeh, Rahul Mangharam, Alejandro Ribeiro:
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies. CoRR abs/2503.03736 (2025) - 2024
- [j156]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. 39(1): 3-4 (2024) - [j155]Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. IEEE Trans. Autom. Control. 69(7): 4275-4290 (2024) - [j154]Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque:
A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. IEEE Trans. Robotics 40: 4598-4614 (2024) - [j153]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. IEEE Trans. Signal Process. 72: 1892-1909 (2024) - [j152]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability to Deformations of Manifold Filters and Manifold Neural Networks. IEEE Trans. Signal Process. 72: 2130-2146 (2024) - [j151]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs. IEEE Trans. Signal Process. 72: 2244-2259 (2024) - [j150]Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro:
Lie Group Algebra Convolutional Filters. IEEE Trans. Signal Process. 72: 2842-2857 (2024) - [j149]Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro:
Robust Stochastically-Descending Unrolled Networks. IEEE Trans. Signal Process. 72: 5484-5499 (2024) - [c316]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Graph Neural Networks: Over Geometric Graphs Sampled from Manifolds. IEEECONF 2024: 1710-1714 - [c315]Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro:
Resilient Constrained Reinforcement Learning. AISTATS 2024: 3412-3420 - [c314]Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid Naderializadeh:
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. GLOBECOM 2024: 4521-4527 - [c313]Mariana del Castillo, Alejandro Ribeiro, Federico Larroca:
EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions. GNNet@CoNEXT 2024: 46-52 - [c312]Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Unsupervised Optimal Power Flow Using Graph Neural Networks. ICASSP 2024: 6885-6889 - [c311]Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro:
Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. ICASSP 2024: 7305-7309 - [c310]Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Graph Neural Networks are More Powerful than We Think. ICASSP 2024: 7550-7554 - [c309]Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
State-Augmented Information Routing In Communication Systems With Graph Neural Networks. ICASSP 2024: 9181-9185 - [c308]Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro:
Near-Optimal Solutions of Constrained Learning Problems. ICLR 2024 - [c307]Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Counting Graph Substructures with Graph Neural Networks. ICLR 2024 - [c306]Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro:
Loss Shaping Constraints for Long-Term Time Series Forecasting. ICML 2024 - [c305]Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro:
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks. ICML 2024 - [c304]Daniel Mox, Kashish Garg, Alejandro Ribeiro, Vijay Kumar:
Opportunistic Communication in Robot Teams. ICRA 2024: 12090-12096 - [c303]Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro:
Constrained Diffusion Models via Dual Training. NeurIPS 2024 - [i228]Saurav Agarwal, Ramya Muthukrishnan, Walker Gosrich, Vijay Kumar, Alejandro Ribeiro:
LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control. CoRR abs/2401.04855 (2024) - [i227]Alejandro Parada-Mayorga, Alejandro Ribeiro:
Sampling and Uniqueness Sets in Graphon Signal Processing. CoRR abs/2401.06279 (2024) - [i226]Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR abs/2402.07684 (2024) - [i225]Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro:
Loss Shaping Constraints for Long-Term Time Series Forecasting. CoRR abs/2402.09373 (2024) - [i224]Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro:
Near-Optimal Solutions of Constrained Learning Problems. CoRR abs/2403.11844 (2024) - [i223]Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti:
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR abs/2404.03227 (2024) - [i222]Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid Naderializadeh:
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. CoRR abs/2405.05748 (2024) - [i221]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. CoRR abs/2406.05225 (2024) - [i220]Juan Cerviño, Md Asadullah Turja, Hesham Mostafa, Nageen Himayat, Alejandro Ribeiro:
Distributed Training of Large Graph Neural Networks with Variable Communication Rates. CoRR abs/2406.17611 (2024) - [i219]Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro:
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. CoRR abs/2408.10015 (2024) - [i218]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Graph Neural Networks is Robust to Model Mismatch. CoRR abs/2408.13878 (2024) - [i217]Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro:
Constrained Diffusion Models via Dual Training. CoRR abs/2408.15094 (2024) - [i216]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Geometric Graph Neural Networks. CoRR abs/2409.05191 (2024) - [i215]Juan Cerviño, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro:
Constrained Learning for Decentralized Multi-Objective Coverage Control. CoRR abs/2409.11311 (2024) - [i214]Shreyas Muthusamy, Damian Owerko, Charilaos I. Kanatsoulis, Saurav Agarwal, Alejandro Ribeiro:
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning. CoRR abs/2409.19829 (2024) - [i213]Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal:
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. CoRR abs/2410.00645 (2024) - [i212]Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy:
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. CoRR abs/2410.03058 (2024) - [i211]Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro:
LoRTA: Low Rank Tensor Adaptation of Large Language Models. CoRR abs/2410.04060 (2024) - [i210]Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro:
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. CoRR abs/2410.08475 (2024) - [i209]Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque:
Convolutional Filtering with RKHS Algebras. CoRR abs/2411.01341 (2024) - 2023
- [j148]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digit. Scholarsh. Humanit. 38(4): 1494-1507 (2023) - [j147]Harshat Kumar, Alec Koppel, Alejandro Ribeiro:
On the sample complexity of actor-critic method for reinforcement learning with function approximation. Mach. Learn. 112(7): 2433-2467 (2023) - [j146]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Trans. Autom. Control. 68(3): 1321-1336 (2023) - [j145]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory 69(3): 1739-1760 (2023) - [j144]Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. 2023 (2023) - [j143]Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro:
Stability of Aggregation Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 9: 850-864 (2023) - [j142]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Learning by Transference: Training Graph Neural Networks on Growing Graphs. IEEE Trans. Signal Process. 71: 233-247 (2023) - [j141]Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro:
Convolutional Learning on Multigraphs. IEEE Trans. Signal Process. 71: 933-946 (2023) - [j140]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. 71: 995-1009 (2023) - [j139]Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro:
Convolutional Filters and Neural Networks With Noncommutative Algebras. IEEE Trans. Signal Process. 71: 2683-2698 (2023) - [j138]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. 71: 3474-3489 (2023) - [j137]Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro:
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs. IEEE Trans. Signal Process. 71: 3577-3591 (2023) - [c302]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convergence of Graph Neural Networks on Relatively Sparse Graphs. ACSSC 2023: 566-572 - [c301]Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Solving Large-Scale Spatial Problems with Convolutional Neural Networks. ACSSC 2023: 1064-1069 - [c300]Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci, Alejandro Ribeiro:
Multi-Target Tracking with Transferable Convolutional Neural Networks. CAMSAP 2023: 56-60 - [c299]Ignacio Boero, Igor Spasojevic, Mariana del Castillo, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Navigation with Shadow Prices to Optimize Multi-Commodity Flow Rates. CDC 2023: 253-258 - [c298]Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro:
Parametric Dictionary Learning for Topological Signal Representation. EUSIPCO 2023: 1958-1962 - [c297]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. ICASSP 2023: 1-5 - [c296]Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro:
Learning with Multigraph Convolutional Filters. ICASSP 2023: 1-5 - [c295]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP 2023: 1-5 - [c294]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Graph Neural Networks on Growing Stochastic Graphs. ICASSP 2023: 1-5 - [c293]Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Space-Time Graph Neural Networks with Stochastic Graph Perturbations. ICASSP 2023: 1-5 - [c292]Ignacio Hounie, Juan Elenter, Alejandro Ribeiro:
Neural Networks with Quantization Constraints. ICASSP 2023: 1-5 - [c291]Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro:
Algebraic Convolutional Filters on Lie Group Algebras. ICASSP 2023: 1-5 - [c290]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP 2023: 1-5 - [c289]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Filtering on Sampled Manifolds. ICASSP 2023: 1-5 - [c288]Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. ICML 2023: 3815-3854 - [c287]Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro:
Automatic Data Augmentation via Invariance-Constrained Learning. ICML 2023: 13410-13433 - [c286]Igor Spasojevic, Xu Liu, Ankit Prabhu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles. IROS 2023: 3048-3055 - [c285]Mikhail Hayhoe, Hans Riess, Michael M. Zavlanos, Victor M. Preciado, Alejandro Ribeiro:
Transferable Hypergraph Neural Networks via Spectral Similarity. LoG 2023: 18 - [c284]Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Danielle S. Bassett:
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. LoG 2023: 23 - [c283]Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro:
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. NeurIPS 2023 - [c282]Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon:
Resilient Constrained Learning. NeurIPS 2023 - [c281]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS 2023 - [c280]Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Active Collaborative Localization in Heterogeneous Robot Teams. Robotics: Science and Systems 2023 - [i208]Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. CoRR abs/2301.09689 (2023) - [i207]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back. CoRR abs/2303.11323 (2023) - [i206]Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro:
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. CoRR abs/2305.01807 (2023) - [i205]Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro:
Stochastic Unrolled Federated Learning. CoRR abs/2305.15371 (2023) - [i204]Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Active Collaborative Localization in Heterogeneous Robot Teams. CoRR abs/2305.18193 (2023) - [i203]Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. CoRR abs/2305.18370 (2023) - [i202]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs. CoRR abs/2305.18467 (2023) - [i201]Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon:
Resilient Constrained Learning. CoRR abs/2306.02426 (2023) - [i200]Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Solving Large-scale Spatial Problems with Convolutional Neural Networks. CoRR abs/2306.08191 (2023) - [i199]Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque:
A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand. CoRR abs/2306.08737 (2023) - [i198]Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro:
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. CoRR abs/2306.11700 (2023) - [i197]Shubhankar P. Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Dani S. Bassett:
Intrinsically motivated graph exploration using network theories of human curiosity. CoRR abs/2307.04962 (2023) - [i196]Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci Jr., Alejandro Ribeiro:
Transferability of Convolutional Neural Networks in Stationary Learning Tasks. CoRR abs/2307.11588 (2023) - [i195]Igor Spasojevic, Xu Liu, Ankit Prabhu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles. CoRR abs/2308.06658 (2023) - [i194]Saurav Agarwal, Alejandro Ribeiro, Vijay Kumar:
Asynchronous Perception-Action-Communication with Graph Neural Networks. CoRR abs/2309.10164 (2023) - [i193]Ignacio Boero, Igor Spasojevic, Mariana del Castillo, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Navigation with shadow prices to optimize multi-commodity flow rates. CoRR abs/2309.14284 (2023) - [i192]Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro:
Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. CoRR abs/2310.00154 (2023) - [i191]Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
Learning State-Augmented Policies for Information Routing in Communication Networks. CoRR abs/2310.00248 (2023) - [i190]Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Network Alignment with Transferable Graph Autoencoders. CoRR abs/2310.03272 (2023) - [i189]Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro:
Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. CoRR abs/2310.03879 (2023) - [i188]Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro:
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs. CoRR abs/2310.10791 (2023) - [i187]Hesham Mostafa, Adam Grabowski, Md Asadullah Turja, Juan Cerviño, Alejandro Ribeiro, Nageen Himayat:
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR abs/2311.17847 (2023) - [i186]Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro:
Robust Stochastically-Descending Unrolled Networks. CoRR abs/2312.15788 (2023) - [i185]Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro:
Resilient Constrained Reinforcement Learning. CoRR abs/2312.17194 (2023) - 2022
- [j136]Harshat Kumar, Santiago Paternain, Alejandro Ribeiro:
Navigation of a quadratic potential with ellipsoidal obstacles. Autom. 146: 110643 (2022) - [j135]Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan:
How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. 37(2): 321-335 (2022) - [j134]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
EdgeNets: Edge Varying Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7457-7473 (2022) - [j133]Daniel Mox, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity-Maximizing Network Configurations. IEEE Robotics Autom. Lett. 7(2): 5552-5559 (2022) - [j132]Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Spherical convolutional neural networks: Stability to perturbations in SO(3). Signal Process. 196: 108529 (2022) - [j131]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Model-Free design of control systems over wireless fading channels. Signal Process. 197: 108540 (2022) - [j130]Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Approximately Supermodular Scheduling Subject to Matroid Constraints. IEEE Trans. Autom. Control. 67(3): 1384-1396 (2022) - [j129]Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro:
Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. IEEE Trans. Autom. Control. 67(9): 4467-4482 (2022) - [j128]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. IEEE Trans. Commun. 70(2): 920-934 (2022) - [j127]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 8: 12-24 (2022) - [j126]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. IEEE Trans. Signal Process. 70: 1850-1863 (2022) - [j125]Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. 70: 1932-1946 (2022) - [j124]Zhan Gao, Alec Koppel, Alejandro Ribeiro:
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems. IEEE Trans. Signal Process. 70: 3693-3708 (2022) - [j123]Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Wide and Deep Graph Neural Network With Distributed Online Learning. IEEE Trans. Signal Process. 70: 3862-3877 (2022) - [j122]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. 70: 5898-5912 (2022) - [c279]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Neural Networks on Manifolds: From Graphs and Back. IEEECONF 2022: 356-360 - [c278]Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani:
Self-Consistency of the Fokker Planck Equation. COLT 2022: 817-841 - [c277]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Stable Graph Neural Networks Through Constrained Learning. ICASSP 2022: 4223-4227 - [c276]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP 2022: 5213-5217 - [c275]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Manifolds to Relative Perturbations. ICASSP 2022: 5473-5477 - [c274]Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro:
Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP 2022: 8912-8916 - [c273]Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Space-Time Graph Neural Networks. ICLR 2022 - [c272]Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro:
An Agnostic Approach to Federated Learning with Class Imbalance. ICLR 2022 - [c271]Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar:
Coverage Control in Multi-Robot Systems via Graph Neural Networks. ICRA 2022: 8787-8793 - [c270]Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro:
A Lagrangian Duality Approach to Active Learning. NeurIPS 2022 - [c269]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
coVariance Neural Networks. NeurIPS 2022 - [c268]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR 2022: 195-202 - [i184]Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro:
A Lagrangian Duality Approach to Active Learning. CoRR abs/2202.04108 (2022) - [i183]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR abs/2203.11012 (2022) - [i182]Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Learning Graph Structure from Convolutional Mixtures. CoRR abs/2205.09575 (2022) - [i181]Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Graph Neural Networks Are More Powerful Than we Think. CoRR abs/2205.09801 (2022) - [i180]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
coVariance Neural Networks. CoRR abs/2205.15856 (2022) - [i179]Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani:
Self-Consistency of the Fokker-Planck Equation. CoRR abs/2206.00860 (2022) - [i178]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR abs/2207.02242 (2022) - [i177]Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro:
Stability of Aggregation Graph Neural Networks. CoRR abs/2207.03678 (2022) - [i176]Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro:
Convolutional Learning on Multigraphs. CoRR abs/2209.11354 (2022) - [i175]Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro:
Automatic Data Augmentation via Invariance-Constrained Learning. CoRR abs/2209.15031 (2022) - [i174]Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro:
Federated Representation Learning via Maximal Coding Rate Reduction. CoRR abs/2210.00299 (2022) - [i173]Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. CoRR abs/2210.00301 (2022) - [i172]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Neural Networks on Manifolds: From Graphs and Back. CoRR abs/2210.00376 (2022) - [i171]Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Unsupervised Optimal Power Flow Using Graph Neural Networks. CoRR abs/2210.09277 (2022) - [i170]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back. CoRR abs/2210.15058 (2022) - [i169]Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro, Donald J. Bucci Jr., Jennifer Bondarchuk:
Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. CoRR abs/2210.15539 (2022) - [i168]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Graph Neural Networks on Growing Stochastic Graphs. CoRR abs/2210.15567 (2022) - [i167]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR abs/2210.15573 (2022) - [i166]Ignacio Hounie, Juan Elenter, Alejandro Ribeiro:
Neural Networks with Quantization Constraints. CoRR abs/2210.15623 (2022) - [i165]Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Space-Time Graph Neural Networks with Stochastic Graph Perturbations. CoRR abs/2210.16270 (2022) - [i164]Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro:
Learning with Multigraph Convolutional Filters. CoRR abs/2210.16272 (2022) - [i163]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR abs/2210.16363 (2022) - [i162]Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR abs/2210.16412 (2022) - [i161]Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. CoRR abs/2211.01757 (2022) - [i160]Mikhail Hayhoe, Hans Riess, Victor M. Preciado, Alejandro Ribeiro:
Stable and Transferable Hyper-Graph Neural Networks. CoRR abs/2211.06513 (2022) - [i159]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Filtering on Sampled Manifolds. CoRR abs/2211.11058 (2022) - [i158]Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro:
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs. CoRR abs/2212.08171 (2022) - 2021
- [j121]Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro:
Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas. IEEE Commun. Mag. 59(1): 22-27 (2021) - [j120]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Graph Neural Networks: Architectures, Stability, and Transferability. Proc. IEEE 109(5): 660-682 (2021) - [j119]Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. IEEE Robotics Autom. Lett. 6(2): 1120-1127 (2021) - [j118]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients. IEEE Robotics Autom. Lett. 6(3): 5340-5347 (2021) - [j117]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stability of graph convolutional neural networks to stochastic perturbations. Signal Process. 188: 108216 (2021) - [j116]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. IEEE Trans. Autom. Control. 66(1): 49-63 (2021) - [j115]Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro:
Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. IEEE Trans. Autom. Control. 66(4): 1856-1863 (2021) - [j114]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. IEEE Trans. Autom. Control. 66(8): 3429-3444 (2021) - [j113]Alejandro Parada-Mayorga, Alejandro Ribeiro:
Algebraic Neural Networks: Stability to Deformations. IEEE Trans. Signal Process. 69: 3351-3366 (2021) - [j112]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. IEEE Trans. Signal Process. 69: 4428-4443 (2021) - [j111]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Signal Processing. IEEE Trans. Signal Process. 69: 4961-4976 (2021) - [j110]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE Trans. Signal Process. 69: 5947-5962 (2021) - [c267]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC 2021: 1563-1567 - [c266]Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas:
Source Seeking in Unknown Environments with Convex Obstacles. ACC 2021: 5055-5061 - [c265]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. EUSIPCO 2021: 1381-1385 - [c264]Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms. EUSIPCO 2021: 1451-1455 - [c263]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Riemannian Manifolds. EUSIPCO 2021: 1845-1849 - [c262]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP 2021: 4900-4904 - [c261]Alejandro Parada-Mayorga, Alejandro Ribeiro:
Stability of Algebraic Neural Networks to Small Perturbations. ICASSP 2021: 5205-5209 - [c260]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Variance-Constrained Learning for Stochastic Graph Neural Networks. ICASSP 2021: 5245-5249 - [c259]Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro:
Graphon and Graph Neural Network Stability. ICASSP 2021: 5255-5259 - [c258]Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro:
Graph Neural Networks for Decentralized Controllers. ICASSP 2021: 5260-5264 - [c257]Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi:
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP 2021: 5265-5269 - [c256]Zhan Gao, Alejandro Ribeiro, Fernando Gama:
Wide and Deep Graph Neural Networks with Distributed Online Learning. ICASSP 2021: 5270-5274 - [c255]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. ICASSP 2021: 8143-8147 - [c254]Samuel Pfrommer, Alejandro Ribeiro, Fernando Gama:
Discriminability of Single-Layer Graph Neural Networks. ICASSP 2021: 8508-8512 - [c253]Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity for Data Distribution in Robot Teams. IROS 2021: 413-420 - [c252]Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. IROS 2021: 8944-8950 - [c251]Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas, Alejandro Ribeiro:
Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space. ISIT 2021: 1676-1681 - [c250]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS 2021: 6198-6215 - [i157]Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. CoRR abs/2101.10113 (2021) - [i156]Clark Zhang, Santiago Paternain, Alejandro Ribeiro:
Sufficiently Accurate Model Learning for Planning. CoRR abs/2102.06099 (2021) - [i155]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients. CoRR abs/2102.06284 (2021) - [i154]Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR abs/2102.11941 (2021) - [i153]Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity for Data Distribution in Robot Teams. CoRR abs/2103.05091 (2021) - [i152]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Learning with Non-Convex Losses. CoRR abs/2103.05134 (2021) - [i151]Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro:
Composable Learning with Sparse Kernel Representations. CoRR abs/2103.14474 (2021) - [i150]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR abs/2105.08601 (2021) - [i149]Zhan Gao, Subhrajit Bhattacharya, Leiming Zhang, Rick S. Blum, Alejandro Ribeiro, Brian M. Sadler:
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping. CoRR abs/2106.02892 (2021) - [i148]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Increase and Conquer: Training Graph Neural Networks on Growing Graphs. CoRR abs/2106.03693 (2021) - [i147]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Manifold Neural Networks to Deformations. CoRR abs/2106.03725 (2021) - [i146]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations. CoRR abs/2106.10526 (2021) - [i145]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR abs/2106.13358 (2021) - [i144]Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Wide and Deep Graph Neural Network with Distributed Online Learning. CoRR abs/2107.09203 (2021) - [i143]Alejandro Parada-Mayorga, Alejandro Ribeiro:
Convolutional Filtering and Neural Networks with Non Commutative Algebras. CoRR abs/2108.09923 (2021) - [i142]Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar:
Coverage Control in Multi-Robot Systems via Graph Neural Networks. CoRR abs/2109.15278 (2021) - [i141]Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro:
Space-Time Graph Neural Networks. CoRR abs/2110.02880 (2021) - [i140]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Stable Graph Neural Networks Through Constrained Learning. CoRR abs/2110.03576 (2021) - [i139]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Manifolds to Relative Perturbations. CoRR abs/2110.04702 (2021) - [i138]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR abs/2110.15767 (2021) - [i137]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferability Properties of Graph Neural Networks. CoRR abs/2112.04629 (2021) - [i136]Anastasios Tsiamis, Dionysios S. Kalogerias, Alejandro Ribeiro, George J. Pappas:
Linear Quadratic Control with Risk Constraints. CoRR abs/2112.07564 (2021) - [i135]Daniel Mox, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity-Maximizing Network Configurations. CoRR abs/2112.07663 (2021) - 2020
- [j109]Aryan Mokhtari, Alec Koppel, Martin Takác, Alejandro Ribeiro:
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. J. Mach. Learn. Res. 21: 120:1-120:51 (2020) - [j108]Aryan Mokhtari, Alejandro Ribeiro:
Stochastic Quasi-Newton Methods. Proc. IEEE 108(11): 1906-1922 (2020) - [j107]Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking sketching as sampling: A graph signal processing approach. Signal Process. 169: 107404 (2020) - [j106]Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. IEEE Signal Process. Mag. 37(6): 128-138 (2020) - [j105]Santiago Paternain, Alejandro Ribeiro:
Stochastic Artificial Potentials for Online Safe Navigation. IEEE Trans. Autom. Control. 65(5): 1985-2000 (2020) - [j104]Luana Ruiz, Fernando Gama, Antonio Garcia Marques, Alejandro Ribeiro:
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. IEEE Trans. Signal Process. 68: 127-141 (2020) - [j103]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. 68: 2031-2044 (2020) - [j102]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Functional Nonlinear Sparse Models. IEEE Trans. Signal Process. 68: 2449-2463 (2020) - [j101]Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro:
Distributed Constrained Online Learning. IEEE Trans. Signal Process. 68: 3486-3499 (2020) - [j100]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors. IEEE Trans. Signal Process. 68: 3961-3975 (2020) - [j99]Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability Properties of Graph Neural Networks. IEEE Trans. Signal Process. 68: 5680-5695 (2020) - [j98]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. IEEE Trans. Signal Process. 68: 6272-6286 (2020) - [j97]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Recurrent Neural Networks. IEEE Trans. Signal Process. 68: 6303-6318 (2020) - [c249]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Decentralized Wireless Resource Allocation with Graph Neural Networks. ACSSC 2020: 299-303 - [c248]Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. AISTATS 2020: 2634-2644 - [c247]Harshat Kumar, Santiago Paternain, Alejandro Ribeiro:
Navigation of a Quadratic Potential with Star Obstacles. ACC 2020: 2043-2048 - [c246]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Path Planning. AAMAS 2020: 1901-1903 - [c245]Vinícius Lima, Mark Eisen, Alejandro Ribeiro:
Learning Constrained Resource Allocation Policies in Wireless Control Systems. CDC 2020: 2615-2621 - [c244]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CDC 2020: 3040-3047 - [c243]Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain, Alejandro Ribeiro:
Resilient Control: Compromising to Adapt. CDC 2020: 5703-5710 - [c242]Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. EUSIPCO 2020: 860-864 - [c241]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO 2020: 1050-1054 - [c240]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. EUSIPCO 2020: 1727-1731 - [c239]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. GLOBECOM 2020: 1-6 - [c238]Maria Peifer, Alejandro Ribeiro:
Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. ICASSP 2020: 4187-4191 - [c237]Mark Eisen, Alejandro Ribeiro:
Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. ICASSP 2020: 5040-5044 - [c236]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. ICASSP 2020: 5045-5049 - [c235]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. ICASSP 2020: 5345-5349 - [c234]Zhan Gao, Alec Koppel, Alejandro Ribeiro:
Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization. ICASSP 2020: 5385-5389 - [c233]Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. ICASSP 2020: 5480-5484 - [c232]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Spatial Gating Strategies for Graph Recurrent Neural Networks. ICASSP 2020: 5550-5554 - [c231]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
The Graphon Fourier Transform. ICASSP 2020: 5660-5664 - [c230]Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Optimal Power Flow Using Graph Neural Networks. ICASSP 2020: 5930-5934 - [c229]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The Empirical Duality Gap of Constrained Statistical Learning. ICASSP 2020: 8374-8378 - [c228]Fernando Gama, Alejandro Ribeiro, Joan Bruna:
Stability of Graph Neural Networks to Relative Perturbations. ICASSP 2020: 9070-9074 - [c227]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. ICASSP 2020: 9080-9084 - [c226]Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro:
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. ICC Workshops 2020: 1-7 - [c225]Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti:
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. ICC 2020: 1-6 - [c224]Daniel Mox, Miguel Calvo-Fullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Mobile Wireless Network Infrastructure on Demand. ICRA 2020: 7726-7732 - [c223]Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro:
Sufficiently Accurate Model Learning. ICRA 2020: 10991-10997 - [c222]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS 2020: 11785-11792 - [c221]Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Counterfactual Programming for Optimal Control. L4DC 2020: 235-244 - [c220]Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi:
Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP 2020: 1-6 - [c219]Luiz F. O. Chamon, Alejandro Ribeiro:
Probably Approximately Correct Constrained Learning. NeurIPS 2020 - [c218]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS 2020 - [c217]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Barycenter via Functional Gradient Descent. NeurIPS 2020 - [c216]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Natural Gradient for Generative Models. NeurIPS 2020 - [c215]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC 2020: 1-5 - [c214]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Resource Allocation in Wireless Control Systems via Deep Policy Gradient. SPAWC 2020: 1-5 - [i134]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
EdgeNets: Edge Varying Graph Neural Networks. CoRR abs/2001.07620 (2020) - [i133]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Recurrent Neural Networks. CoRR abs/2002.01038 (2020) - [i132]Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. CoRR abs/2002.02308 (2020) - [i131]Daniel Mox, Miguel Calvo-Fullana, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Mobile Wireless Network Infrastructure on Demand. CoRR abs/2002.03026 (2020) - [i130]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The empirical duality gap of constrained statistical learning. CoRR abs/2002.05183 (2020) - [i129]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR abs/2002.07631 (2020) - [i128]Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. CoRR abs/2003.01795 (2020) - [i127]Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Graphs, Convolutions, and Neural Networks. CoRR abs/2003.03777 (2020) - [i126]Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Approximately Supermodular Scheduling Subject to Matroid Constraints. CoRR abs/2003.08841 (2020) - [i125]Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro:
Graph Neural Networks for Decentralized Controllers. CoRR abs/2003.10280 (2020) - [i124]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CoRR abs/2004.04685 (2020) - [i123]Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. CoRR abs/2006.02684 (2020) - [i122]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR abs/2006.03548 (2020) - [i121]Luiz F. O. Chamon, Alejandro Ribeiro:
Probably Approximately Correct Constrained Learning. CoRR abs/2006.05487 (2020) - [i120]Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis:
Graph Neural Networks for Motion Planning. CoRR abs/2006.06248 (2020) - [i119]Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Wide and Deep Graph Neural Networks with Distributed Online Learning. CoRR abs/2006.06376 (2020) - [i118]Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas, Alejandro Ribeiro:
Zeroth-order Deterministic Policy Gradient. CoRR abs/2006.07314 (2020) - [i117]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. CoRR abs/2006.15005 (2020) - [i116]Zhan Gao, Alec Koppel, Alejandro Ribeiro:
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems. CoRR abs/2007.01219 (2020) - [i115]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Barycenter via Functional Gradient Descent. CoRR abs/2007.10449 (2020) - [i114]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. CoRR abs/2007.13709 (2020) - [i113]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Graph Neural Networks: Architectures, Stability and Transferability. CoRR abs/2008.01767 (2020) - [i112]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR abs/2008.11895 (2020) - [i111]Alejandro Parada-Mayorga, Alejandro Ribeiro:
Algebraic Neural Networks: Stability to Deformations. CoRR abs/2009.01433 (2020) - [i110]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Model-Free Design of Control Systems over Wireless Fading Channels. CoRR abs/2009.01751 (2020) - [i109]Juan Cerviño, Harshat Kumar, Alejandro Ribeiro:
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples. CoRR abs/2009.13668 (2020) - [i108]Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3). CoRR abs/2010.05865 (2020) - [i107]Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro:
Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes. CoRR abs/2010.08443 (2020) - [i106]Samuel Pfrommer, Fernando Gama, Alejandro Ribeiro:
Discriminability of Single-Layer Graph Neural Networks. CoRR abs/2010.08847 (2020) - [i105]Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro, Robert Ghrist:
Quiver Signal Processing (QSP). CoRR abs/2010.11525 (2020) - [i104]Alejandro Parada-Mayorga, Alejandro Ribeiro:
Stability of Algebraic Neural Networks to Small Perturbations. CoRR abs/2010.11544 (2020) - [i103]Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro:
Graph and graphon neural network stability. CoRR abs/2010.12529 (2020) - [i102]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. CoRR abs/2010.12993 (2020) - [i101]Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi:
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR abs/2010.14585 (2020) - [i100]Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. CoRR abs/2011.01119 (2020) - [i99]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks. CoRR abs/2011.02644 (2020) - [i98]Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Natural Gradient for Generative Models. CoRR abs/2011.04162 (2020) - [i97]Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. CoRR abs/2011.12344 (2020) - [i96]Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Decentralized Control with Graph Neural Networks. CoRR abs/2012.14906 (2020)
2010 – 2019
- 2019
- [j96]Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro:
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. IEEE Internet Things J. 6(5): 7878-7890 (2019) - [j95]Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. J. Mach. Learn. Res. 20: 3:1-3:44 (2019) - [j94]Santiago Paternain, Aryan Mokhtari, Alejandro Ribeiro:
A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points. SIAM J. Optim. 29(1): 343-368 (2019) - [j93]Gonzalo Mateos, Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. 36(3): 16-43 (2019) - [j92]Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Convolutional Neural Network Architectures for Signals Supported on Graphs. IEEE Trans. Signal Process. 67(4): 1034-1049 (2019) - [j91]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning in Wireless Control Systems Over Nonstationary Channels. IEEE Trans. Signal Process. 67(5): 1123-1137 (2019) - [j90]Fernando Gama, Alejandro Ribeiro:
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers. IEEE Trans. Signal Process. 67(10): 2761-2774 (2019) - [j89]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. 67(10): 2775-2790 (2019) - [j88]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. IEEE Trans. Signal Process. 67(23): 5983-5997 (2019) - [j87]Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus:
Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. IEEE Trans. Signal Process. 67(24): 6440-6454 (2019) - [c213]Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus:
Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. ACSSC 2019: 184-188 - [c212]Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Convolutional Graph Neural Networks. ACSSC 2019: 452-456 - [c211]Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Learning Gaussian Processes with Bayesian Posterior Optimization. ACSSC 2019: 482-486 - [c210]Miguel Calvo-Fullana, Fikadu T. Dagefu, Brian M. Sadler, Alejandro Ribeiro:
Multi-mode Autonomous Communication Systems. ACSSC 2019: 1005-1009 - [c209]Vinícius Lima Silva, Luiz F. O. Chamon, Alejandro Ribeiro:
Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection. ACC 2019: 347-353 - [c208]Santiago Paternain, Mahyar Fazlyab, Victor M. Preciado, Alejandro Ribeiro:
A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization. ACC 2019: 835-841 - [c207]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC 2019: 4840-4846 - [c206]Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling. CDC 2019: 3391-3398 - [c205]Harshat Kumar, Santiago Paternain, Alejandro Ribeiro:
Navigation of a Quadratic Potential with Ellipsoidal Obstacles. CDC 2019: 4777-4784 - [c204]Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
Real-Time Model Predictive Control Based on Prediction-Correction Algorithms. CDC 2019: 5285-5291 - [c203]Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro:
Constrained Online Learning in Networks with Sublinear Regret and Fit. CDC 2019: 5486-5493 - [c202]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Learning Safe Policies via Primal-Dual Methods. CDC 2019: 6491-6497 - [c201]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. CDC 2019: 7454-7461 - [c200]Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRL 2019: 671-682 - [c199]Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. CoRL 2019: 823-834 - [c198]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. EUSIPCO 2019: 1-5 - [c197]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Convolutional Recurrent Neural Networks. EUSIPCO 2019: 1-5 - [c196]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. GLOBECOM 2019: 1-6 - [c195]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP 2019: 3292-3296 - [c194]Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro:
Control Aware Communication Design for Time Sensitive Wireless Systems. ICASSP 2019: 4584-4588 - [c193]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP 2019: 4729-4733 - [c192]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Sparse Recovery over Nonlinear Dictionaries. ICASSP 2019: 4878-4882 - [c191]Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus:
Aggregation Graph Neural Networks. ICASSP 2019: 4943-4947 - [c190]Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Median Activation Functions for Graph Neural Networks. ICASSP 2019: 7440-7444 - [c189]Fernando Gama, Alejandro Ribeiro, Joan Bruna:
Diffusion Scattering Transforms on Graphs. ICLR (Poster) 2019 - [c188]Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi:
Hessian Aided Policy Gradient. ICML 2019: 5729-5738 - [c187]Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. IROS 2019: 7535-7542 - [c186]Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar:
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. IROS 2019: 7558-7565 - [c185]Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS 2019: 7553-7563 - [c184]Fernando Gama, Alejandro Ribeiro, Joan Bruna:
Stability of Graph Scattering Transforms. NeurIPS 2019: 8036-8046 - [c183]Mark Eisen, Alejandro Ribeiro:
Large Scale Wireless Power Allocation with Graph Neural Networks. SPAWC 2019: 1-5 - [c182]Tanmay Ram Godbole, Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro, Mikko Valkama:
Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems. SPAWC 2019: 1-5 - [i95]Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro:
Learning Task Agnostic Sufficiently Accurate Models. CoRR abs/1902.06862 (2019) - [i94]Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. CoRR abs/1903.01298 (2019) - [i93]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Convolutional Recurrent Neural Networks. CoRR abs/1903.01888 (2019) - [i92]Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. CoRR abs/1903.10525 (2019) - [i91]Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRR abs/1903.10527 (2019) - [i90]Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR abs/1903.12575 (2019) - [i89]Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus:
Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs. CoRR abs/1904.10089 (2019) - [i88]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse multiresolution representations with adaptive kernels. CoRR abs/1905.02797 (2019) - [i87]Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability Properties of Graph Neural Networks. CoRR abs/1905.04497 (2019) - [i86]Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability of Graph Scattering Transforms. CoRR abs/1906.04784 (2019) - [i85]Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro:
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. CoRR abs/1906.06225 (2019) - [i84]Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. CoRR abs/1907.03822 (2019) - [i83]Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar:
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. CoRR abs/1907.05300 (2019) - [i82]Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas:
Source Seeking in Unknown Environments with Convex Obstacles. CoRR abs/1909.07496 (2019) - [i81]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints. CoRR abs/1909.10704 (2019) - [i80]Harshat Kumar, Alec Koppel, Alejandro Ribeiro:
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation. CoRR abs/1910.08412 (2019) - [i79]Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability of Graph Neural Networks to Relative Perturbations. CoRR abs/1910.09655 (2019) - [i78]Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Optimal Power Flow Using Graph Neural Networks. CoRR abs/1910.09658 (2019) - [i77]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. CoRR abs/1910.11900 (2019) - [i76]Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. CoRR abs/1910.13393 (2019) - [i75]Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti:
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. CoRR abs/1910.13587 (2019) - [i74]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. CoRR abs/1911.00164 (2019) - [i73]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. CoRR abs/1911.03988 (2019) - [i72]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR abs/1911.09101 (2019) - [i71]Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
A Prediction-Correction Algorithm for Real-Time Model Predictive Control. CoRR abs/1911.10051 (2019) - [i70]Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Risk-Aware MMSE Estimation. CoRR abs/1912.02933 (2019) - [i69]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. CoRR abs/1912.03799 (2019) - [i68]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR abs/1912.06095 (2019) - 2018
- [j86]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical clustering of asymmetric networks. Adv. Data Anal. Classif. 12(1): 65-105 (2018) - [j85]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
Random access design for wireless control systems. Autom. 91: 1-9 (2018) - [j84]Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan:
Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. 33(3): 500-528 (2018) - [j83]Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville:
A Graph Signal Processing Perspective on Functional Brain Imaging. Proc. IEEE 106(5): 868-885 (2018) - [j82]Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro:
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate. SIAM J. Optim. 28(2): 1420-1447 (2018) - [j81]Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro:
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. SIAM J. Optim. 28(2): 1670-1698 (2018) - [j80]Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado:
Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems. SIAM J. Optim. 28(3): 2654-2689 (2018) - [j79]Ceyhun Eksin, Alejandro Ribeiro:
Distributed Fictitious Play for Multiagent Systems in Uncertain Environments. IEEE Trans. Autom. Control. 63(4): 1177-1184 (2018) - [j78]Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro Ribeiro:
Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization. IEEE Trans. Autom. Control. 63(7): 1973-1986 (2018) - [j77]Santiago Paternain, Daniel E. Koditschek, Alejandro Ribeiro:
Navigation Functions for Convex Potentials in a Space With Convex Obstacles. IEEE Trans. Autom. Control. 63(9): 2944-2959 (2018) - [j76]Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro:
Distributed Inertial Best-Response Dynamics. IEEE Trans. Autom. Control. 63(12): 4294-4300 (2018) - [j75]Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro:
Demand Response With Communicating Rational Consumers. IEEE Trans. Smart Grid 9(1): 469-482 (2018) - [j74]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. IEEE Trans. Signal Inf. Process. over Networks 4(2): 392-406 (2018) - [j73]Luiz F. O. Chamon, Alejandro Ribeiro:
Greedy Sampling of Graph Signals. IEEE Trans. Signal Process. 66(1): 34-47 (2018) - [j72]Weiyu Huang, Alejandro Ribeiro:
Network Comparison: Embeddings and Interiors. IEEE Trans. Signal Process. 66(2): 412-427 (2018) - [j71]Weiyu Huang, Alejandro Ribeiro:
Hierarchical Clustering Given Confidence Intervals of Metric Distances. IEEE Trans. Signal Process. 66(10): 2600-2615 (2018) - [j70]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized Online Learning With Kernels. IEEE Trans. Signal Process. 66(12): 3240-3255 (2018) - [j69]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. IEEE Trans. Signal Process. 66(13): 3363-3376 (2018) - [j68]Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro:
Rating Prediction via Graph Signal Processing. IEEE Trans. Signal Process. 66(19): 5066-5081 (2018) - [c181]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Online Deep Learning in Wireless Communication Systems. ACSSC 2018: 1289-1293 - [c180]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC 2018: 2022-2026 - [c179]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized Online Nonparametric Learning. ACSSC 2018: 2139-2143 - [c178]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. AISTATS 2018: 1447-1455 - [c177]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning in Non-Stationary Wireless Control Systems via Newton's Method. ACC 2018: 1410-1417 - [c176]Mahyar Fazlyab, Santiago Paternain, Alejandro Ribeiro, Victor M. Preciado:
Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods. ACC 2018: 3768-3773 - [c175]Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
A Prediction-Correction Method for Model Predictive Control. ACC 2018: 4189-4194 - [c174]Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro:
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. ACC 2018: 6608-6615 - [c173]Santiago Paternain, Aryan Mokhtari, Alejandro Ribeiro:
A Newton Method for Faster Navigation in Cluttered Environments. CDC 2018: 4084-4090 - [c172]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Learning Policies for Markov Decision Processes in Continuous Spaces. CDC 2018: 4751-4758 - [c171]Fernando Gama, Geert Leus, Antonio G. Marques, Alejandro Ribeiro:
Convolutional Neural Networks via Node-Varying Graph Filters. DSW 2018: 220-224 - [c170]Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
CNN Architectures for Graph Data. GlobalSIP 2018: 723-724 - [c169]Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Predicting Power Outages Using Graph Neural Networks. GlobalSIP 2018: 743-747 - [c168]Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville:
Graph Signal Processing of Human Brain Imaging Data. ICASSP 2018: 980-984 - [c167]Alec Koppel, Aryan Mokhtari, Alejandro Ribeiro:
Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning. ICASSP 2018: 2771-2775 - [c166]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. ICASSP 2018: 3559-3563 - [c165]Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro:
Matrix Completion as Graph Bandlimited Reconstruction. ICASSP 2018: 4039-4043 - [c164]Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Control of Graph Signals Over Random Time-Varying Graphs. ICASSP 2018: 4169-4173 - [c163]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Strong Duality of Sparse Functional Optimization. ICASSP 2018: 4739-4743 - [c162]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Learning Sample-Efficient Target Reaching for Mobile Robots. IROS 2018: 3080-3087 - [c161]Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro:
Composable Learning with Sparse Kernel Representations. IROS 2018: 4622-4628 - [c160]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. SPAWC 2018: 1-5 - [c159]Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus:
MIMO Graph Filters for Convolutional Neural Networks. SPAWC 2018: 1-5 - [i67]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors. CoRR abs/1801.10141 (2018) - [i66]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Learning Sample-Efficient Target Reaching for Mobile Robots. CoRR abs/1803.01846 (2018) - [i65]Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus:
MIMO Graph Filters for Convolutional Neural Networks. CoRR abs/1803.02247 (2018) - [i64]Alec Koppel, Ekaterina I. Tolstaya, Ethan Stump, Alejandro Ribeiro:
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. CoRR abs/1804.07323 (2018) - [i63]Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Convolutional Neural Networks Architectures for Signals Supported on Graphs. CoRR abs/1805.00165 (2018) - [i62]Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro:
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. CoRR abs/1805.08776 (2018) - [i61]Fernando Gama, Alejandro Ribeiro, Joan Bruna:
Diffusion Scattering Transforms on Graphs. CoRR abs/1806.08829 (2018) - [i60]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Learning Optimal Resource Allocations in Wireless Systems. CoRR abs/1807.08088 (2018) - [i59]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. CoRR abs/1807.11274 (2018) - [i58]Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. CoRR abs/1810.11507 (2018) - [i57]Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Median activation functions for graph neural networks. CoRR abs/1810.12165 (2018) - [i56]Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro:
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. CoRR abs/1811.00409 (2018) - [i55]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Functional Nonlinear Sparse Models. CoRR abs/1811.00577 (2018) - [i54]Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro:
Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. CoRR abs/1812.00554 (2018) - 2017
- [j67]Abdelhak M. Zoubir, Jorge Plata-Chaves, Daniel Pérez Palomar, Anna Scaglione, Alejandro Ribeiro:
Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 11(3): 447-449 (2017) - [j66]Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro:
Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing. IEEE J. Sel. Top. Signal Process. 11(6): 771-773 (2017) - [j65]Santiago Paternain, Alejandro Ribeiro:
Online Learning of Feasible Strategies in Unknown Environments. IEEE Trans. Autom. Control. 62(6): 2807-2822 (2017) - [j64]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. IEEE Trans. Autom. Control. 62(11): 5724-5738 (2017) - [j63]James Stephan, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Concurrent Control of Mobility and Communication in Multirobot Systems. IEEE Trans. Robotics 33(5): 1248-1254 (2017) - [j62]Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro:
Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks. IEEE Trans. Signal Inf. Process. over Networks 3(3): 448-450 (2017) - [j61]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks 3(3): 467-483 (2017) - [j60]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. IEEE Trans. Signal Inf. Process. over Networks 3(4): 711-727 (2017) - [j59]Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
D4L: Decentralized Dynamic Discriminative Dictionary Learning. IEEE Trans. Signal Inf. Process. over Networks 3(4): 728-743 (2017) - [j58]Aryan Mokhtari, Qing Ling, Alejandro Ribeiro:
Network Newton Distributed Optimization Methods. IEEE Trans. Signal Process. 65(1): 146-161 (2017) - [j57]Weiyu Huang, Alejandro Ribeiro:
Persistent Homology Lower Bounds on High-Order Network Distances. IEEE Trans. Signal Process. 65(2): 319-334 (2017) - [j56]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. IEEE Trans. Signal Process. 65(5): 1146-1159 (2017) - [j55]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
Decentralized Quasi-Newton Methods. IEEE Trans. Signal Process. 65(10): 2613-2628 (2017) - [j54]Alec Koppel, Brian M. Sadler, Alejandro Ribeiro:
Proximity Without Consensus in Online Multiagent Optimization. IEEE Trans. Signal Process. 65(12): 3062-3077 (2017) - [j53]Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis:
Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation. IEEE Trans. Signal Process. 65(12): 3078-3093 (2017) - [j52]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. IEEE Trans. Signal Process. 65(15): 4117-4131 (2017) - [j51]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Stationary Graph Processes and Spectral Estimation. IEEE Trans. Signal Process. 65(22): 5911-5926 (2017) - [c158]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A primal-dual Quasi-Newton method for consensus optimization. ACSSC 2017: 298-302 - [c157]Weiyu Huang, Alejandro Ribeiro:
Partial embedding distance for networks. ACSSC 2017: 1968-1972 - [c156]Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado:
A dynamical systems perspective to convergence rate analysis of proximal algorithms. Allerton 2017: 354-360 - [c155]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Random access policies for wireless networked control systems with energy harvesting sensors. ACC 2017: 3042-3047 - [c154]Mahyar Fazlyab, Alec Koppel, Victor M. Preciado, Alejandro Ribeiro:
A variational approach to dual methods for constrained convex optimization. ACC 2017: 5269-5275 - [c153]Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro:
Design of weighted median graph filters. CAMSAP 2017: 1-5 - [c152]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
The mean square error in Kalman filtering sensor selection is approximately supermodular. CDC 2017: 343-350 - [c151]Santiago Paternain, Alejandro Ribeiro:
Safe online navigation of convex potentials in spaces with convex obstacles. CDC 2017: 2473-2478 - [c150]Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro:
Collaborative filtering via graph signal processing. EUSIPCO 2017: 1094-1098 - [c149]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized efficient nonparametric stochastic optimization. GlobalSIP 2017: 533-537 - [c148]Luiz F. O. Chamon, Alejandro Ribeiro:
Finite-precision effects on graph filters. GlobalSIP 2017: 603-607 - [c147]Fernando Gama, Alejandro Ribeiro:
Distributed estimation of smooth graph power spectral density. GlobalSIP 2017: 643-647 - [c146]Leah Goldsberry, Weiyu Huang, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro:
Brain signal analytics from graph signal processing perspective. ICASSP 2017: 851-855 - [c145]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Alejandro Ribeiro:
Stochastic backpressure in energy harvesting networks. ICASSP 2017: 3724-3728 - [c144]Luiz F. O. Chamon, Alejandro Ribeiro:
Universal bounds for the sampling of graph signals. ICASSP 2017: 3899-3903 - [c143]Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro:
An incremental quasi-Newton method with a local superlinear convergence rate. ICASSP 2017: 4039-4043 - [c142]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Stationary graph processes: Parametric power spectral estimation. ICASSP 2017: 4099-4103 - [c141]Fernando Gama, Alejandro Ribeiro:
Weak law of large numbers for stationary graph processes. ICASSP 2017: 4124-4128 - [c140]Weiyu Huang, Alejandro Ribeiro:
Axiomatic hierarchical clustering given intervals of metric distances. ICASSP 2017: 4227-4231 - [c139]Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
Parsimonious Online Learning with Kernels via sparse projections in function space. ICASSP 2017: 4671-4675 - [c138]Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro:
A double incremental aggregated gradient method with linear convergence rate for large-scale optimization. ICASSP 2017: 4696-4700 - [c137]Aryan Mokhtari, Alec Koppel, Gesualdo Scutari, Alejandro Ribeiro:
Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. ICASSP 2017: 4701-4705 - [c136]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Robust network topology inference. ICASSP 2017: 6518-6522 - [c135]Aryan Mokhtari, Alejandro Ribeiro:
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization. NIPS 2017: 2060-2068 - [c134]Luiz F. O. Chamon, Alejandro Ribeiro:
Approximate Supermodularity Bounds for Experimental Design. NIPS 2017: 5403-5412 - [i53]Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro:
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. CoRR abs/1702.00709 (2017) - [i52]Weiyu Huang, Alejandro Ribeiro:
Network Comparison: Embeddings and Interiors. CoRR abs/1703.06231 (2017) - [i51]Luiz F. O. Chamon, Alejandro Ribeiro:
Greedy Sampling of Graph Signals. CoRR abs/1704.01223 (2017) - [i50]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. CoRR abs/1705.07957 (2017) - [i49]Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques:
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. CoRR abs/1705.08987 (2017) - [i48]Aryan Mokhtari, Alejandro Ribeiro:
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization. CoRR abs/1709.00599 (2017) - [i47]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized Online Learning with Kernels. CoRR abs/1710.04062 (2017) - [i46]Fernando Gama, Geert Leus, Antonio Garcia Marques, Alejandro Ribeiro:
Convolutional Neural Networks Via Node-Varying Graph Filters. CoRR abs/1710.10355 (2017) - [i45]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. CoRR abs/1711.00745 (2017) - [i44]Luiz F. O. Chamon, Alejandro Ribeiro:
Approximate Supermodularity Bounds for Experimental Design. CoRR abs/1711.01501 (2017) - 2016
- [j50]Pooya Molavi, Ceyhun Eksin, Alejandro Ribeiro, Ali Jadbabaie:
Learning to Coordinate in Social Networks. Oper. Res. 64(3): 605-621 (2016) - [j49]Aryan Mokhtari, Alejandro Ribeiro:
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm. J. Mach. Learn. Res. 17: 61:1-61:35 (2016) - [j48]Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro:
Graph Frequency Analysis of Brain Signals. IEEE J. Sel. Top. Signal Process. 10(7): 1189-1203 (2016) - [j47]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 2(4): 507-522 (2016) - [j46]Santiago Segarra, Alejandro Ribeiro:
Stability and Continuity of Centrality Measures in Weighted Graphs. IEEE Trans. Signal Process. 64(3): 543-555 (2016) - [j45]Weiyu Huang, Alejandro Ribeiro:
Metrics in the Space of High Order Networks. IEEE Trans. Signal Process. 64(3): 615-629 (2016) - [j44]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Sampling of Graph Signals With Successive Local Aggregations. IEEE Trans. Signal Process. 64(7): 1832-1843 (2016) - [j43]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of Graph Signals Through Percolation from Seeding Nodes. IEEE Trans. Signal Process. 64(16): 4363-4378 (2016) - [j42]Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro:
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. IEEE Trans. Signal Process. 64(17): 4576-4591 (2016) - [j41]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. 64(19): 5158-5173 (2016) - [c133]Weiyu Huang, Alejandro Ribeiro:
Persistent homology lower bounds on distances in the space of networks. ACSSC 2016: 72-76 - [c132]Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC 2016: 522-526 - [c131]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network topology identification from imperfect spectral templates. ACSSC 2016: 1465-1469 - [c130]Alec Koppel, Aryan Mokhtari, Alejandro Ribeiro:
Doubly stochastic algorithms for large-scale optimization. ACSSC 2016: 1705-1709 - [c129]Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro:
Doubly random parallel stochastic methods for large scale learning. ACC 2016: 4847-4852 - [c128]Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro Ribeiro:
Interior point method for dynamic constrained optimization in continuous time. ACC 2016: 5612-5618 - [c127]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
State-based communication design for wireless control systems. CDC 2016: 129-134 - [c126]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A decentralized quasi-Newton method for dual formulations of consensus optimization. CDC 2016: 1951-1958 - [c125]Mahyar Fazlyab, Cameron Nowzari, George J. Pappas, Alejandro Ribeiro, Victor M. Preciado:
Self-triggered time-varying convex optimization. CDC 2016: 3090-3097 - [c124]Soomin Lee, Alejandro Ribeiro, Michael M. Zavlanos:
Distributed continuous-time online optimization using saddle-point methods. CDC 2016: 4314-4319 - [c123]Ceyhun Eksin, Brian Swenson, Soummya Kar, Alejandro Ribeiro:
Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty. CDC 2016: 5292-5297 - [c122]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
A decentralized Second-Order Method for Dynamic Optimization. CDC 2016: 6036-6043 - [c121]Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro:
Online optimization in dynamic environments: Improved regret rates for strongly convex problems. CDC 2016: 7195-7201 - [c120]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
A Quasi-newton prediction-correction method for decentralized dynamic convex optimization. ECC 2016: 1934-1939 - [c119]Weiyu Huang, Alejandro Ribeiro:
Axiomatic hierarchical clustering for intervals of metric distances. GlobalSIP 2016: 217-221 - [c118]Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro:
Center-weighted median graph filters. GlobalSIP 2016: 336-340 - [c117]Fernando Garna, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. GlobalSIP 2016: 390-394 - [c116]Ceyhun Eksin, Alejandro Ribeiro:
Distributed fictitious play for multi-agent systems with uncertainty. GlobalSIP 2016: 495-499 - [c115]Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis:
A data-driven approach to stochastic network optimization. GlobalSIP 2016: 510-514 - [c114]Alec Koppel, Brian M. Sadler, Alejandro Ribeiro:
Decentralized online optimization with heterogeneous data sources. GlobalSIP 2016: 515-519 - [c113]Han Zhang, Wei Shi, Aryan Mokhtari, Alejandro Ribeiro, Qing Ling:
Decentralized constrained consensus optimization with primal dual splitting projection. GlobalSIP 2016: 565-569 - [c112]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
An asynchronous Quasi-Newton method for consensus optimization. GlobalSIP 2016: 570-574 - [c111]Luiz F. O. Chamon, Alejandro Ribeiro:
Near-optimality of greedy set selection in the sampling of graph signals. GlobalSIP 2016: 1265-1269 - [c110]Alec Koppel, Brian M. Sadler, Alejandro Ribeiro:
Proximity without consensus in online multi-agent optimization. ICASSP 2016: 3726-3730 - [c109]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Blind identification of graph filters with multiple sparse inputs. ICASSP 2016: 4099-4103 - [c108]Jeremy Ma, Weiyu Huang, Santiago Segarra, Alejandro Ribeiro:
Diffusion filtering of graph signals and its use in recommendation systems. ICASSP 2016: 4563-4567 - [c107]Weiyu Huang, Alejandro Ribeiro:
Persistent homology lower bounds on network distances. ICASSP 2016: 4845-4849 - [c106]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Linear network operators using node-variant graph filters. ICASSP 2016: 4850-4854 - [c105]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Space-shift sampling of graph signals. ICASSP 2016: 6355-6359 - [c104]James Stephan, Jonathan Fink, Alejandro Ribeiro:
System architectures for communication-aware multi-robot navigation. ICASSP 2016: 6395-6399 - [c103]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Overlapping clustering of network data using cut metrics. ICASSP 2016: 6415-6419 - [c102]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
Control-Aware Random Access Communication. ICCPS 2016: 15:1-15:9 - [c101]James Stephan, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Hybrid architecture for communication-aware multi-robot systems. ICRA 2016: 5269-5276 - [c100]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Stationary graph processes: Nonparametric spectral estimation. SAM 2016: 1-5 - [c99]Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
Online learning for characterizing unknown environments in ground robotic vehicle models. IROS 2016: 626-633 - [c98]Aryan Mokhtari, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Alejandro Ribeiro:
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. NIPS 2016: 4062-4070 - [c97]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network topology identification from spectral templates. SSP 2016: 1-5 - [i43]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. CoRR abs/1602.00596 (2016) - [i42]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. CoRR abs/1602.01716 (2016) - [i41]Ceyhun Eksin, Alejandro Ribeiro:
Distributed Fictitious Play for Optimal Behavior of Multi-Agent Systems with Incomplete Information. CoRR abs/1602.02066 (2016) - [i40]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Stationary Graph Processes and Spectral Estimation. CoRR abs/1603.04667 (2016) - [i39]Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro:
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems. CoRR abs/1603.04954 (2016) - [i38]Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro:
Doubly Random Parallel Stochastic Methods for Large Scale Learning. CoRR abs/1603.06782 (2016) - [i37]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization. CoRR abs/1603.07195 (2016) - [i36]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Identification from Spectral Templates. CoRR abs/1604.02610 (2016) - [i35]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. CoRR abs/1604.07234 (2016) - [i34]Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro:
Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information. CoRR abs/1605.00601 (2016) - [i33]Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
Decentralized Dynamic Discriminative Dictionary Learning. CoRR abs/1605.01107 (2016) - [i32]Aryan Mokhtari, Alejandro Ribeiro:
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. CoRR abs/1605.07659 (2016) - [i31]Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro:
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. CoRR abs/1606.04991 (2016) - [i30]Alec Koppel, Brian M. Sadler, Alejandro Ribeiro:
Proximity Without Consensus in Online Multi-Agent Optimization. CoRR abs/1606.05578 (2016) - [i29]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Clustering of Asymmetric Networks. CoRR abs/1607.06294 (2016) - [i28]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR abs/1607.06335 (2016) - [i27]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Excisive Hierarchical Clustering Methods for Network Data. CoRR abs/1607.06339 (2016) - [i26]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. CoRR abs/1608.03008 (2016) - [i25]Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis:
Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation. CoRR abs/1610.02143 (2016) - [i24]Weiyu Huang, Alejandro Ribeiro:
Hierarchical Clustering Given Confidence Intervals of Metric Distances. CoRR abs/1610.04274 (2016) - [i23]Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro:
Stylometric Analysis of Early Modern Period English Plays. CoRR abs/1610.05670 (2016) - [i22]Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR abs/1611.00119 (2016) - [i21]Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro:
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate. CoRR abs/1611.00347 (2016) - [i20]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. CoRR abs/1611.01393 (2016) - [i19]Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. CoRR abs/1612.04111 (2016) - 2015
- [j40]Aryan Mokhtari, Alejandro Ribeiro:
Global convergence of online limited memory BFGS. J. Mach. Learn. Res. 16: 3151-3181 (2015) - [j39]Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas:
Opportunistic Control Over Shared Wireless Channels. IEEE Trans. Autom. Control. 60(12): 3140-3155 (2015) - [j38]Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro:
Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences. IEEE Trans. Smart Grid 6(6): 3082-3094 (2015) - [j37]Santiago Segarra, Weiyu Huang, Alejandro Ribeiro:
Diffusion and Superposition Distances for Signals Supported on Networks. IEEE Trans. Signal Inf. Process. over Networks 1(1): 20-32 (2015) - [j36]Qing Ling, Wei Shi, Gang Wu, Alejandro Ribeiro:
DLM: Decentralized Linearized Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. 63(15): 4051-4064 (2015) - [j35]Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro:
A Saddle Point Algorithm for Networked Online Convex Optimization. IEEE Trans. Signal Process. 63(19): 5149-5164 (2015) - [j34]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. 63(20): 5464-5478 (2015) - [c96]Aryan Mokhtari, Alejandro Ribeiro:
Decentralized double stochastic averaging gradient. ACSSC 2015: 406-410 - [c95]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Prediction-correction methods for time-varying convex optimization. ACSSC 2015: 666-670 - [c94]Weiyu Huang, Santiago Segarra, Alejandro Ribeiro:
Diffusion distance for signals supported on networks. ACSSC 2015: 1219-1223 - [c93]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Sampling of graph signals: Successive local aggregations at a single node. ACSSC 2015: 1819-1823 - [c92]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Distributed implementation of linear network operators using graph filters. Allerton 2015: 1406-1413 - [c91]Santiago Paternain, Alejandro Ribeiro:
Online learning of feasible strategies in unknown environments. ACC 2015: 4231-4238 - [c90]Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro:
Real-Time Pricing with uncertain and heterogeneous consumer preferences. ACC 2015: 5692-5699 - [c89]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Aggregation sampling of graph signals in the presence of noise. CAMSAP 2015: 101-104 - [c88]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind identification of graph filters with sparse inputs. CAMSAP 2015: 449-452 - [c87]Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro:
A decentralized prediction-correction method for networked time-varying convex optimization. CAMSAP 2015: 509-512 - [c86]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
Control with random access wireless sensors. CDC 2015: 318-323 - [c85]Santiago Paternain, Alejandro Ribeiro:
Online learning of optimal strategies in unknown environments. CDC 2015: 3951-3958 - [c84]Ceyhun Eksin, Alejandro Ribeiro:
Distributed fictitious play in potential games of incomplete information. CDC 2015: 5190-5196 - [c83]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Interpolation of graph signals using shift-invariant graph filters. EUSIPCO 2015: 210-214 - [c82]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
Decentralized quadratically approximated alternating direction method of multipliers. GlobalSIP 2015: 795-799 - [c81]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of graph signals: Percolation from a single seeding node. GlobalSIP 2015: 844-848 - [c80]Weiyu Huang, Alejandro Ribeiro:
Persistent homology approximations of network distances. GlobalSIP 2015: 1002-1006 - [c79]Alec Koppel, Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Target tracking with dynamic convex optimization. GlobalSIP 2015: 1210-1214 - [c78]Aryan Mokhtari, Qing Ling, Alejandro Ribeiro:
An approximate Newton method for distributed optimization. ICASSP 2015: 2959-2963 - [c77]Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro:
Regret bounds of a distributed saddle point algorithm. ICASSP 2015: 2969-2973 - [c76]Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro:
Rational consumer behavior models in smart pricing. ICASSP 2015: 3167-3171 - [c75]Santiago Segarra, Alejandro Ribeiro:
Stability and continuity of centrality measures in weighted graphs. ICASSP 2015: 3387-3391 - [c74]Weiyu Huang, Alejandro Ribeiro:
Metrics in the space of high order proximity networks. ICASSP 2015: 4135-4139 - [c73]Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro:
D4L: Decentralized dynamic discriminative dictionary learning. IROS 2015: 2966-2973 - [i18]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Sampling of graph signals with successive local aggregations. CoRR abs/1504.04687 (2015) - [i17]Weiyu Huang, Alejandro Ribeiro:
Metrics in the Space of High Order Networks. CoRR abs/1507.01994 (2015) - [i16]Weiyu Huang, Alejandro Ribeiro:
Persistent Homology Lower Bounds on High Order Network Distances. CoRR abs/1507.03044 (2015) - [i15]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of Graph Signals through Percolation from Seeding Nodes. CoRR abs/1507.08364 (2015) - [i14]Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro:
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. CoRR abs/1509.05196 (2015) - [i13]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Distributed Linear Network Operators using Graph Filters. CoRR abs/1510.03947 (2015) - [i12]Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro:
Demand Response with Cooperating Rational Consumers. CoRR abs/1511.05677 (2015) - [i11]Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro:
Graph Frequency Analysis of Brain Signals. CoRR abs/1512.00037 (2015) - 2014
- [j33]Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie:
Accelerated Dual Descent for Network Flow Optimization. IEEE Trans. Autom. Control. 59(4): 905-920 (2014) - [j32]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
Optimal Power Management in Wireless Control Systems. IEEE Trans. Autom. Control. 59(6): 1495-1510 (2014) - [j31]Qing Ling, Alejandro Ribeiro:
Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. 62(5): 1185-1197 (2014) - [j30]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Bayesian Quadratic Network Game Filters. IEEE Trans. Signal Process. 62(9): 2250-2264 (2014) - [j29]Aryan Mokhtari, Alejandro Ribeiro:
RES: Regularized Stochastic BFGS Algorithm. IEEE Trans. Signal Process. 62(23): 6089-6104 (2014) - [c72]Aryan Mokhtari, Qing Ling, Alejandro Ribeiro:
Network Newton. ACSSC 2014: 1621-1625 - [c71]Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas:
Opportunistic sensor scheduling in wireless control systems. CDC 2014: 3777-3782 - [c70]Santiago Segarra, Alejandro Ribeiro:
Dithering and betweenness centrality in weighted graphs. GlobalSIP 2014: 847-851 - [c69]Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie:
Discounted integral priority routing for data networks. GLOBECOM 2014: 1993-1998 - [c68]Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro:
Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources. ICASSP 2014: 1100-1104 - [c67]Santiago Segarra, Alejandro Ribeiro:
A stable betweenness centrality measure in networks. ICASSP 2014: 3859-3863 - [c66]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Information aggregation in a beauty contest game. ICASSP 2014: 4783-4787 - [c65]Qing Ling, Alejandro Ribeiro:
Decentralized linearized alternating direction method of multipliers. ICASSP 2014: 5447-5451 - [c64]Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro:
A saddle point algorithm for networked online convex optimization. ICASSP 2014: 8292-8296 - [c63]Aryan Mokhtari, Alejandro Ribeiro:
A quasi-Newton method for large scale support vector machines. ICASSP 2014: 8302-8306 - [c62]Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas:
Opportunistic scheduling of control tasks over shared wireless channels. ICCPS 2014: 48-59 - [c61]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Quasi-Clustering Methods for Asymmetric Networks. ICML 2014: 352-360 - [c60]James Stephan, Jonathan Fink, Benjamin Charrow, Alejandro Ribeiro, Vijay Kumar:
Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams. IROS 2014: 3753-3760 - [i10]Aryan Mokhtari, Alejandro Ribeiro:
RES: Regularized Stochastic BFGS Algorithm. CoRR abs/1401.7625 (2014) - [i9]Aryan Mokhtari, Alejandro Ribeiro:
A Quasi-Newton Method for Large Scale Support Vector Machines. CoRR abs/1402.4861 (2014) - [i8]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Quasi-Clustering Methods for Asymmetric Networks. CoRR abs/1404.4655 (2014) - [i7]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution through Function Word Adjacency Networks. CoRR abs/1406.4469 (2014) - [i6]Aryan Mokhtari, Alejandro Ribeiro:
Global Convergence of Online Limited Memory BFGS. CoRR abs/1409.2045 (2014) - [i5]Santiago Segarra, Alejandro Ribeiro:
Stability and Continuity of Centrality Measures in Weighted Graphs. CoRR abs/1410.5119 (2014) - [i4]Santiago Segarra, Weiyu Huang, Alejandro Ribeiro:
Diffusion and Superposition Distances for Signals Supported on Networks. CoRR abs/1411.7443 (2014) - 2013
- [j28]Jonathan Fink, Alejandro Ribeiro, Vijay Kumar:
Robust Control of Mobility and Communications in Autonomous Robot Teams. IEEE Access 1: 290-309 (2013) - [j27]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Learning in Network Games with Incomplete Information: Asymptotic Analysis and Tractable Implementation of Rational Behavior. IEEE Signal Process. Mag. 30(3): 30-42 (2013) - [j26]Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas:
Network Integrity in Mobile Robotic Networks. IEEE Trans. Autom. Control. 58(1): 3-18 (2013) - [j25]Felicia Y. Jakubiec, Alejandro Ribeiro:
D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems. IEEE Trans. Signal Process. 61(2): 450-466 (2013) - [j24]Yichuan Hu, Alejandro Ribeiro:
Optimal Wireless Communications With Imperfect Channel State Information. IEEE Trans. Signal Process. 61(11): 2751-2766 (2013) - [c59]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical clustering methods and algorithms for asymmetric networks. ACSSC 2013: 1773-1777 - [c58]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
Optimal power management in wireless control systems. ACC 2013: 1562-1569 - [c57]Santiago Segarra, Alejandro Ribeiro:
Hierarchical clustering and consensus in trust networks. CAMSAP 2013: 85-88 - [c56]Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie:
Accelerated dual descent for constrained convex network flow optimization. CDC 2013: 1037-1042 - [c55]Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas:
Power-aware communication for wireless sensor-actuator systems. CDC 2013: 4006-4011 - [c54]Avik De, Alejandro Ribeiro, William Moran, Daniel E. Koditschek:
Convergence of Bayesian histogram filters for location estimation. CDC 2013: 7047-7053 - [c53]Pooya Molavi, Ceyhun Eksin, Alejandro Ribeiro, Ali Jadbabaie:
Learning to coordinate in a beauty contest game. CDC 2013: 7358-7363 - [c52]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Distributed filters for Bayesian network games. EUSIPCO 2013: 1-5 - [c51]Kun Yuan, Qing Ling, Wotao Yin, Alejandro Ribeiro:
A linearized bregman algorithm for decentralized basis pursuit. EUSIPCO 2013: 1-5 - [c50]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Alternative axiomatic constructions for hierarchical clustering of asymmetric networks. GlobalSIP 2013: 791-794 - [c49]Aryan Mokhtari, Alejandro Ribeiro:
Regularized stochastic BFGS algorithm. GlobalSIP 2013: 1109-1112 - [c48]Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie:
Accelerated backpressure algorithm. GLOBECOM 2013: 2269-2275 - [c47]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Bayesian Quadratic Network Game filters. ICASSP 2013: 4589-4593 - [c46]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Axiomatic construction of hierarchical clustering in asymmetric networks. ICASSP 2013: 5219-5223 - [c45]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship attribution using function words adjacency networks. ICASSP 2013: 5563-5567 - [c44]Aryan Mokhtari, Alejandro Ribeiro:
A dual stochastic DFP algorithm for optimal resource allocation in wireless systems. SPAWC 2013: 21-25 - [c43]Yichuan Hu, Alejandro Ribeiro:
Cognitive access algorithms for multiple access channels. SPAWC 2013: 120-124 - [c42]Qing Ling, Alejandro Ribeiro:
Decentralized dynamic optimization through the alternating direction method of multipliers. SPAWC 2013: 170-174 - [i3]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks. CoRR abs/1301.7724 (2013) - [i2]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Bayesian Quadratic Network Game Filters. CoRR abs/1302.0249 (2013) - 2012
- [j23]Alejandro Ribeiro:
Optimal resource allocation in wireless communication and networking. EURASIP J. Wirel. Commun. Netw. 2012: 272 (2012) - [j22]Jerome Le Ny, Alejandro Ribeiro, George J. Pappas:
Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems. IEEE J. Sel. Areas Commun. 30(5): 923-934 (2012) - [j21]Jonathan Fink, Alejandro Ribeiro, Vijay Kumar:
Robust Control for Mobility and Wireless Communication in Cyber-Physical Systems With Application to Robot Teams. Proc. IEEE 100(1): 164-178 (2012) - [j20]Yichuan Hu, Alejandro Ribeiro:
Optimal Wireless Networks Based on Local Channel State Information. IEEE Trans. Signal Process. 60(9): 4913-4929 (2012) - [j19]Ceyhun Eksin, Alejandro Ribeiro:
Distributed Network Optimization With Heuristic Rational Agents. IEEE Trans. Signal Process. 60(10): 5396-5411 (2012) - [c41]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Dynamic games with side information in economic networks. ACSCC 2012: 520-524 - [c40]Felicia Y. Jakubiec, Alejandro Ribeiro:
Distributed maximum a posteriori probability estimation for tracking of dynamic systems. ACSCC 2012: 1478-1482 - [c39]Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie:
Learning in linear games over networks. Allerton Conference 2012: 434-440 - [c38]Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie:
A distributed line search for network optimization. ACC 2012: 472-477 - [c37]Jerome Le Ny, Alejandro Ribeiro, George J. Pappas:
Adaptive communication-constrained deployment of mobile robotic networks. ACC 2012: 3742-3747 - [c36]Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie:
Network optimization under uncertainty. CDC 2012: 7470-7475 - [c35]Felicia Y. Jakubiec, Alejandro Ribeiro:
Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks. ICASSP 2012: 2857-2860 - [c34]Yichuan Hu, Alejandro Ribeiro:
Optimal wireless multiuser channels with imperfect channel state information. ICASSP 2012: 3021-3024 - [c33]Ceyhun Eksin, Alejandro Ribeiro:
Heuristic rational models in social networks. ICASSP 2012: 3077-3080 - [c32]Behnaz Arzani, Roch Guérin, Alejandro Ribeiro:
A distributed routing protocol for predictable rates in wireless mesh networksy. ICNP 2012: 1-10 - [c31]Jonathan Fink, Alejandro Ribeiro, Vijay Kumar:
Motion planning for robust wireless networking. ICRA 2012: 2419-2426 - 2011
- [j18]Yichuan Hu, Alejandro Ribeiro:
Adaptive Distributed Algorithms for Optimal Random Access Channels. IEEE Trans. Wirel. Commun. 10(8): 2703-2715 (2011) - [c30]Ceyhun Eksin, Alejandro Ribeiro:
Network optimization with heuristic rational agents. ACSCC 2011: 53-57 - [c29]Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas:
A framework for integrating mobility and routing in mobile communication networks. ACSCC 2011: 1461-1465 - [c28]Yichuan Hu, Alejandro Ribeiro:
Optimal random access for wireless networks in the presence of fading. Allerton 2011: 800-807 - [c27]Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie:
Accelerated dual descent for network optimization. ACC 2011: 2663-2668 - [c26]Jerome Le Ny, Alejandro Ribeiro, George J. Pappas:
Robot deployment with end-to-end communication constraints. CDC/ECC 2011: 4232-4238 - [c25]Yichuan Hu, Alejandro Ribeiro:
Optimal Transmission over a Fading Channel with Imperfect Channel State Information. GLOBECOM 2011: 1-5 - [c24]Yichuan Hu, Alejandro Ribeiro:
Optimal wireless networks based on local channel state information. ICASSP 2011: 3124-3127 - [i1]Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie, Asuman E. Ozdaglar:
Accelerated Dual Descent for Network Optimization. CoRR abs/1104.1157 (2011) - 2010
- [j17]Alejandro Ribeiro, Georgios B. Giannakis:
Separation principles in wireless networking. IEEE Trans. Inf. Theory 56(9): 4488-4505 (2010) - [j16]Alejandro Ribeiro:
Ergodic Stochastic Optimization Algorithms for Wireless Communication and Networking. IEEE Trans. Signal Process. 58(12): 6369-6386 (2010) - [j15]Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Giannakis:
A class of convergent algorithms for resource allocation in wireless fading networks. IEEE Trans. Wirel. Commun. 9(5): 1808-1823 (2010) - [c23]Yichuan Hu, Alejandro Ribeiro:
Adaptive distributed algorithms for optimal random access channels. Allerton 2010: 1474-1481 - [c22]Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas:
Mobility & routing control in networks of robots. CDC 2010: 7545-7550 - [c21]Alejandro Ribeiro:
Ergodic stochastic optimization algorithms for wireless communication and networking. ICASSP 2010: 3326-3329
2000 – 2009
- 2009
- [j14]Laura Cottatellucci, Xavier Mestre, Erik G. Larsson, Alejandro Ribeiro:
Cooperative Communications in Wireless Networks. EURASIP J. Wirel. Commun. Netw. 2009 (2009) - [c20]Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Giannakis:
Cross-layer optimization of wireless fading ad-hoc networks. ICASSP 2009: 2353-2356 - [c19]Alejandro Ribeiro:
Layers and layer interfaces in wireless networks. ICASSP 2009: 2557-2560 - 2008
- [j13]Alfonso Cano, Tairan Wang, Alejandro Ribeiro, Georgios B. Giannakis:
Link-Adaptive Distributed Coding for Multisource Cooperation. EURASIP J. Adv. Signal Process. 2008 (2008) - [j12]Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis:
Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals. IEEE Trans. Signal Process. 56(1): 350-364 (2008) - [j11]Ioannis D. Schizas, Georgios B. Giannakis, Stergios I. Roumeliotis, Alejandro Ribeiro:
Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals. IEEE Trans. Signal Process. 56(4): 1650-1666 (2008) - [j10]Eric J. Msechu, Stergios I. Roumeliotis, Alejandro Ribeiro, Georgios B. Giannakis:
Decentralized Quantized Kalman Filtering With Scalable Communication Cost. IEEE Trans. Signal Process. 56(8-1): 3727-3741 (2008) - [j9]Alejandro Ribeiro, Nikolas D. Sidiropoulos, Georgios B. Giannakis:
Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks. IEEE Trans. Wirel. Commun. 7(11-1): 4261-4272 (2008) - [c18]Alejandro Ribeiro:
Session WA6b: Wireless network utility maximization: Fundamental limits and protocols. ACSCC 2008: 2135-2136 - [c17]Alejandro Ribeiro, Georgios B. Giannakis:
Optimal layered architectures of wireless networks. ACSCC 2008: 2147-2151 - [c16]Alejandro Ribeiro, Georgios B. Giannakis:
Layer separability of wireless networks. CISS 2008: 821-826 - [c15]Alejandro Ribeiro, Georgios B. Giannakis:
Optimal FDMA over wireless fading mobile ad-hoc networks. ICASSP 2008: 2765-2768 - [c14]Eric J. Msechu, Alejandro Ribeiro, Stergios I. Roumeliotis, Georgios B. Giannakis:
Distributed Kalman filtering based on quantized innovations. ICASSP 2008: 3293-3296 - 2007
- [j8]Alejandro Ribeiro, Renqiu Wang, Georgios B. Giannakis:
Multi-source cooperation with full-diversity spectral-efficiency and controllable-complexity. IEEE J. Sel. Areas Commun. 25(2): 415-425 (2007) - [j7]Alejandro Ribeiro, Nikos D. Sidiropoulos, Georgios B. Giannakis, Yingqun Yu:
Achieving Wireline Random Access Throughput in Wireless Networking Via User Cooperation. IEEE Trans. Inf. Theory 53(2): 732-758 (2007) - [c13]Yuchen Wu, Alejandro Ribeiro, Georgios B. Giannakis:
Robust Routing in Wireless Multi-Hop Networks. CISS 2007: 637-642 - [c12]Alejandro Ribeiro, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Distributed Routing Algorithms for Wireless Multihop Networks. ICASSP (3) 2007: 517-520 - [c11]Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis:
Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links. ICASSP (2) 2007: 849-852 - [c10]Alejandro Ribeiro, Georgios B. Giannakis, Zhi-Quan Luo, Nikos D. Sidiropoulos:
Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks. INFOCOM 2007: 1748-1756 - 2006
- [j6]Jin-Jun Xiao, Alejandro Ribeiro, Zhi-Quan Luo, Georgios B. Giannakis:
Distributed compression-estimation using wireless sensor networks. IEEE Signal Process. Mag. 23(4): 27-41 (2006) - [j5]Alejandro Ribeiro, Georgios B. Giannakis:
Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case. IEEE Trans. Signal Process. 54(3): 1131-1143 (2006) - [j4]Alejandro Ribeiro, Georgios B. Giannakis:
Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function. IEEE Trans. Signal Process. 54(7): 2784-2796 (2006) - [j3]Alejandro Ribeiro, Georgios B. Giannakis, Stergios I. Roumeliotis:
SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations. IEEE Trans. Signal Process. 54(12): 4782-4795 (2006) - [j2]Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis:
Opportunistic multipath for bandwidth-efficient cooperative multiple access. IEEE Trans. Wirel. Commun. 5(9): 2321-2327 (2006) - [c9]Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis:
Distributed estimation with ad hoc wireless sensor networks. EUSIPCO 2006: 1-5 - [c8]Alfonso Cano, Tairan Wang, Alejandro Ribeiro, Georgios B. Giannakis:
Link-Adaptive Distributed Coding for Multi-Source Cooperation. GLOBECOM 2006 - [c7]Alejandro Ribeiro, Georgios B. Giannakis, Stergios I. Roumeliotis:
SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using The Sign Of Innovations. ICASSP (4) 2006: 153-156 - 2005
- [j1]Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis:
Symbol error probabilities for general Cooperative links. IEEE Trans. Wirel. Commun. 4(3): 1264-1273 (2005) - [c6]Alejandro Ribeiro, Georgios B. Giannakis:
Non-parametric distributed quantization-estimation using wireless sensor networks. ICASSP (4) 2005: 61-64 - [c5]Yingqun Yu, Alejandro Ribeiro, Nikolaos D. Sidiropoulos, Georgios B. Giannakis:
Cooperative random access with long PN spreading codes. ICASSP (3) 2005: 517-520 - [c4]Alejandro Ribeiro, Georgios B. Giannakis:
Distributed quantization-estimation using wireless sensor networks. ICC 2005: 730-736 - [c3]Alejandro Ribeiro, Yingqun Yu, Georgios B. Giannakis, Nikos D. Sidiropoulos:
Increasing the throughput of spread-Aloha protocols via long PN spreading codes. ICC 2005: 3628-3631 - 2004
- [c2]Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis:
Opportunistic multipath for bandwidth-efficient cooperative networking. ICASSP (4) 2004: 549-552 - [c1]Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis:
Symbol error probabilities for general cooperative links. ICC 2004: 3369-3373
Coauthor Index
[j155] [c308] [i224] [j146] [j145] [j138] [c288] [c287] [c282] [i201] [j130] [i175] [i173] [j116] [j111] [c267] [c266] [c250] [i154] [i152] [i138] [i137] [j103] [j102] [c244] [c243] [c241] [c233] [c231] [c229] [c221] [c219] [c218] [i130] [i126] [i124] [i122] [i121] [i97] [j89] [c211] [c209] [c206] [c202] [c195] [c193] [c192] [c185] [i88] [i82] [i76] [i72] [i70] [i69] [j73] [c181] [c180] [c163] [i60] [i55] [c152] [c148] [c144] [c134] [i51] [i44] [c111]
[j156] [j148] [j140] [j135] [j131] [j128] [j126] [j122] [c276] [c274] [i183] [i178] [i162] [c255] [j98] [c249] [c245] [c240] [c239] [c237] [c236] [c226] [c225] [c215] [c214] [i129] [i117] [i114] [i110] [i99] [j96] [j91] [j89] [j88] [c196] [c194] [c193] [c183] [i85] [i77] [i75] [i73] [j84] [j81] [c181] [c178] [c177] [c166] [c160] [i60] [i56] [j55] [c158] [c143] [i53] [i50] [c126] [c112] [i37] [i23] [j34] [i7] [c45]
[c312] [j143] [j134] [j132] [j127] [j125] [j123] [i177] [i171] [j120] [c264] [c262] [c258] [c257] [c256] [c254] [i145] [i144] [j107] [j106] [j104] [j99] [j97] [c246] [c232] [c230] [c228] [c222] [i134] [i133] [i132] [i127] [i125] [i119] [i113] [i108] [i106] [i101] [i96] [j92] [j90] [j87] [c213] [c212] [c200] [c198] [c197] [c191] [c190] [c189] [c184] [i94] [i93] [i91] [i90] [i89] [i87] [i86] [i79] [i78] [i68] [j74] [c171] [c170] [c169] [c164] [c159] [i65] [i63] [i61] [i57] [c147] [c141] [i46] [c132] [c103] [i22] [i20]
Seyed Hamed Hassani
aka: Hamed Hassani
aka: Hamed Hassani
Dionysios S. Kalogerias
aka: Dionysis Kalogerias
aka: Dionysis Kalogerias
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[c319] [i219] [j107] [j104] [j93] [j92] [c212] [c191] [c190] [i90] [j68] [c171] [c170] [c165] [c159] [i65] [i63] [i57] [j61] [j56] [j52] [j51] [c153] [c150] [c142] [c136] [i49] [i46] [j44] [j43] [c132] [c131] [c118] [c117] [c109] [c106] [c105] [c100] [c97] [i40] [i36] [i35] [i26] [i22] [c93] [c92] [c89] [c88] [c83] [c81] [i18] [i15] [i13]
[j109] [j108] [c248] [j94] [j88] [j82] [j81] [c178] [c173] [c167] [i58] [j64] [j58] [j55] [j53] [c158] [c143] [c138] [c137] [c135] [i53] [i50] [i48] [j49] [j47] [j42] [j41] [c130] [c129] [c126] [c122] [c121] [c120] [c115] [c113] [c112] [c98] [i43] [i42] [i39] [i38] [i37] [i32] [i31] [i25] [i21] [j40] [c96] [c95] [c87] [c82] [c79] [c78] [i14] [j29] [c72] [c63] [i10] [i9] [i6] [c49] [c44]
[j160] [c299] [c286] [c280] [i204] [i195] [i193] [j116] [c266] [c251] [c250] [i138] [i136] [j98] [c244] [c240] [c236] [c233] [i124] [i118] [j91] [c200] [i91] [i82] [i73] [i70] [i69] [j85] [c177] [c166] [c160] [c152] [c127] [c125] [c102] [j39] [c86] [j32] [c71] [c62] [j26] [c58] [c55] [j22] [c37] [c29] [c26] [c22]
[j155] [j146] [j145] [j136] [j129] [j114] [c266] [i156] [i154] [i152] [j105] [j103] [j101] [c247] [c243] [c229] [c223] [c221] [i130] [i107] [i97] [j94] [c211] [c208] [c205] [c204] [c203] [c202] [c201] [c195] [c185] [i95] [i88] [i82] [i76] [i72] [i71] [j78] [j77] [j70] [c180] [c179] [c176] [c175] [c173] [c172] [i59] [j65] [c151] [c149] [i47] [c128] [c91] [c85]
[j152] [j151] [j142] [j138] [c302] [c294] [c289] [i202] [c279] [c277] [c275] [c274] [i172] [i168] [i159] [j120] [j111] [c267] [c263] [c259] [c257] [i148] [i147] [i140] [i139] [i137] [j104] [j97] [c242] [c241] [c232] [c231] [c220] [c218] [i133] [i128] [i122] [i113] [i103] [i101] [c197] [c190] [i93] [i90] [i57]
[j156] [j148] [j135] [c235] [j93] [i74] [j86] [j84] [j74] [j61] [j60] [j56] [j52] [j51] [c153] [c142] [c136] [i49] [j46] [j44] [j43] [c131] [c118] [c109] [c108] [c106] [c105] [c103] [c100] [c97] [i40] [i36] [i35] [i29] [i28] [i27] [i26] [i23] [i20] [j37] [j34] [c94] [c93] [c92] [c89] [c88] [c83] [c81] [c75] [i18] [i15] [i13] [c70] [c67] [c61] [i8] [i7] [i5] [i4] [c59] [c57] [c50] [c46] [c45] [i3]
Nicholas D. Sidiropoulos
aka: Nikos D. Sidiropoulos
aka: Nikolas D. Sidiropoulos
aka: Nikolaos D. Sidiropoulos
aka: Nikos D. Sidiropoulos
aka: Nikolas D. Sidiropoulos
aka: Nikolaos D. Sidiropoulos
Kate Tolstaya
aka: Ekaterina I. Tolstaya
aka: Ekaterina I. Tolstaya
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