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ORCIDGeorge J. Pappas
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
- award (2002): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2024
[j141]Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson:
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. 2024 (2024)- [j140]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c384]Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann:
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming. AAAI 2024: 20984-20992 - [c383]Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS 2024: 2746-2754 - [c382]Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas:
Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. ACC 2024: 2090-2097 - [c381]Charis J. Stamouli, Evangelos Chatzipantazis, George J. Pappas:
Structural Risk Minimization for Learning Nonlinear Dynamics. ACC 2024: 2897-2904 - [c380]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR 2024 - [c379]Shayan Kiyani, George J. Pappas, Hamed Hassani:
Conformal Prediction with Learned Features. ICML 2024 - [c378]Thomas T. C. K. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni:
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples. ICML 2024 - [c377]Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni:
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss. ICML 2024 - [c376]Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov:
Optimal Scene Graph Planning with Large Language Model Guidance. ICRA 2024: 14062-14069 - [c375]Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas:
Uncertainty quantification and robustification of model-based controllers using conformal prediction. L4DC 2024: 528-540 - [c374]Charis J. Stamouli, Lars Lindemann, George J. Pappas:
Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees. L4DC 2024: 1330-1342 - [c373]Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann:
Multi-modal conformal prediction regions by optimizing convex shape templates. L4DC 2024: 1343-1356 - [i188]Ingvar M. Ziemann, Stephen Tu, George J. Pappas
, Nikolai Matni:
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss. CoRR abs/2402.05928 (2024) - [i187]Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR abs/2402.11800 (2024) - [i186]Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - [i185]Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas:
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR abs/2403.17247 (2024) - [i184]Prithvi Akella, Anushri Dixit, Mohamadreza Ahmadi, Lars Lindemann, Margaret P. Chapman, George J. Pappas, Aaron D. Ames, Joel W. Burdick:
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification. CoRR abs/2403.18972 (2024) - [i183]Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter:
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR abs/2403.19103 (2024) - [i182]Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong:
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR abs/2404.01318 (2024) - [i181]Charis J. Stamouli, Ingvar M. Ziemann, George J. Pappas:
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method. CoRR abs/2404.07937 (2024) - [i180]Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni:
Active Learning for Control-Oriented Identification of Nonlinear Systems. CoRR abs/2404.09030 (2024) - [i179]Shayan Kiyani, George J. Pappas, Hamed Hassani:
Conformal Prediction with Learned Features. CoRR abs/2404.17487 (2024) - [i178]Charis J. Stamouli, Lars Lindemann, George J. Pappas:
Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees. CoRR abs/2405.10875 (2024) - [i177]Sifan Wang, Jacob H. Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris:
Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective. CoRR abs/2405.13998 (2024) - [i176]Mahdi Sabbaghi, George J. Pappas, Hamed Hassani, Surbhi Goel:
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks. CoRR abs/2406.01895 (2024) - [i175]Shayan Kiyani, George J. Pappas, Hamed Hassani:
Length Optimization in Conformal Prediction. CoRR abs/2406.18814 (2024) - [i174]Zhixian Xie, Wenlong Zhang, Yi Ren, Zhaoran Wang, George J. Pappas, Wanxin Jin:
Safe MPC Alignment with Human Directional Feedback. CoRR abs/2407.04216 (2024) - [i173]Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas:
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR abs/2407.20441 (2024) - 2023
- [j139]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Combined Left and Right Temporal Robustness for Control Under STL Specifications. IEEE Control. Syst. Lett. 7: 619-624 (2023) - [j138]Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas:
Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling. IEEE Control. Syst. Lett. 7: 2461-2466 (2023) - [j137]Lars Lindemann, Matthew Cleaveland, Gihyun Shim, George J. Pappas:
Safe Planning in Dynamic Environments Using Conformal Prediction. IEEE Robotics Autom. Lett. 8(8): 5116-5123 (2023) - [j136]Anastasios Tsiamis, George J. Pappas:
Online Learning of the Kalman Filter With Logarithmic Regret. IEEE Trans. Autom. Control. 68(5): 2774-2789 (2023) - [j135]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design. ACM Trans. Embed. Comput. Syst. 22(1): 13:1-13:44 (2023) - [j134]Lars Lindemann, Lejun Jiang, Nikolai Matni, George J. Pappas:
Risk of Stochastic Systems for Temporal Logic Specifications. ACM Trans. Embed. Comput. Syst. 22(3): 54:1-54:31 (2023) - [j133]Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, Shan Lin:
: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events. IEEE Trans. Mob. Comput. 22(2): 906-922 (2023) - [j132]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. IEEE Trans. Robotics 39(4): 2585-2602 (2023) - [c372]Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas:
Conformal Prediction for STL Runtime Verification. Allerton 2023: 1 - [c371]Austin K. Chen, Bryce L. Ferguson, Daigo Shishika, Michael R. Dorothy, Jason R. Marden, George J. Pappas, Vijay Kumar:
Path Defense in Dynamic Defender-Attacker Blotto Games (dDAB) with Limited Information. ACC 2023: 447-453 - [c370]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 - [c369]Kong Yao Chee, M. Ani Hsieh, George J. Pappas:
Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction. CDC 2023: 342-349 - [c368]Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann:
Safe Perception-Based Control Under Stochastic Sensor Uncertainty Using Conformal Prediction. CDC 2023: 6072-6078 - [c367]Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas:
Safety Filter Design for Neural Network Systems via Convex Optimization. CDC 2023: 6356-6363 - [c366]Samarth Kalluraya, George J. Pappas, Yiannis Kantaros:
Resilient Temporal Logic Planning in the Presence of Robot Failures. CDC 2023: 7520-7526 - [c365]Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas:
A Tutorial on the Non-Asymptotic Theory of System Identification. CDC 2023: 8921-8939 - [c364]Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas:
Conformal Prediction for STL Runtime Verification. ICCPS 2023: 142-153 - [c363]Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris:
Variational Autoencoding Neural Operators. ICML 2023: 30491-30522 - [c362]Samarth Kalluraya, George J. Pappas, Yiannis Kantaros:
Multi-Robot Mission Planning in Dynamic Semantic Environments. ICRA 2023: 1630-1637 - [c361]Mariliza Tzes, Nikolaos Bousias, Evangelos Chatzipantazis, George J. Pappas:
Graph Neural Networks for Multi-Robot Active Information Acquisition. ICRA 2023: 3497-3503 - [c360]Matthew Malencia, George J. Pappas, Vijay Kumar:
Socially Fair Coverage Control. ICRA 2023: 7656-7662 - [c359]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 - [c358]Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas:
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-Based Model Predictive Control for Aerial Robots. IROS 2023: 9435-9441 - [c357]Anushri Dixit, Lars Lindemann, Skylar X. Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick:
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. L4DC 2023: 300-314 - [c356]Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. L4DC 2023: 483-496 - [c355]Thomas Beckers, Qirui Wu, George J. Pappas:
Physics-enhanced Gaussian Process Variational Autoencoder. L4DC 2023: 521-533 - [c354]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC 2023: 1387-1399 - [c353]Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni:
The noise level in linear regression with dependent data. NeurIPS 2023 - [c352]Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Active Collaborative Localization in Heterogeneous Robot Teams. Robotics: Science and Systems 2023 - [c351]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. SaTML 2023: 537-553 - [e6]Nikolai Matni, Manfred Morari, George J. Pappas:
Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. Proceedings of Machine Learning Research 211, PMLR 2023 [contents] - [i172]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR abs/2301.00944 (2023) - [i171]Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Ioannis G. Kevrekidis, Mahyar Fazlyab:
Certified Invertibility in Neural Networks via Mixed-Integer Programming. CoRR abs/2301.11783 (2023) - [i170]Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson:
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR abs/2302.02212 (2023) - [i169]Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris:
Variational Autoencoding Neural Operators. CoRR abs/2302.10351 (2023) - [i168]Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann:
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction. CoRR abs/2304.00194 (2023) - [i167]Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann:
Conformal Prediction Regions for Time Series using Linear Complementarity Programming. CoRR abs/2304.01075 (2023) - [i166]Samarth Kalluraya, George J. Pappas, Yiannis Kantaros:
Resilient Temporal Logic Planning in the Presence of Robot Failures. CoRR abs/2305.05485 (2023) - [i165]Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas:
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling. CoRR abs/2305.08104 (2023) - [i164]Thomas Beckers, Qirui Wu, George J. Pappas:
Physics-enhanced Gaussian Process Variational Autoencoder. CoRR abs/2305.09006 (2023) - [i163]Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CoRR abs/2305.09017 (2023) - [i162]Thomas Beckers, Tom Z. Jiahao, George J. Pappas:
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. CoRR abs/2305.09689 (2023) - [i161]Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni:
The noise level in linear regression with dependent data. CoRR abs/2305.11165 (2023) - [i160]Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Active Collaborative Localization in Heterogeneous Robot Teams. CoRR abs/2305.18193 (2023) - [i159]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Combined Left and Right Temporal Robustness for Control under STL Specifications. CoRR abs/2306.04936 (2023) - [i158]Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR abs/2306.11035 (2023) - [i157]Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas:
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots. CoRR abs/2308.00570 (2023) - [i156]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) - [i155]Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas:
Safety Filter Design for Neural Network Systems via Convex Optimization. CoRR abs/2308.08086 (2023) - [i154]Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas:
A Tutorial on the Non-Asymptotic Theory of System Identification. CoRR abs/2309.03873 (2023) - [i153]Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov:
Optimal Scene Graph Planning with Large Language Model Guidance. CoRR abs/2309.09182 (2023) - [i152]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) - [i151]Charis J. Stamouli, Evangelos Chatzipantazis, George J. Pappas:
Structural Risk Minimization for Learning Nonlinear Dynamics. CoRR abs/2309.16527 (2023) - [i150]Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas:
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR abs/2310.03684 (2023) - [i149]Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong:
Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR abs/2310.08419 (2023) - [i148]Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov:
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR abs/2312.06848 (2023) - [i147]Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann:
Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates. CoRR abs/2312.07434 (2023) - 2022
- [j131]Matthew Cleaveland, Lars Lindemann, Radoslav Ivanov, George J. Pappas:
Risk verification of stochastic systems with neural network controllers. Artif. Intell. 313: 103782 (2022) - [j130]Thomas Beckers, Leonardo J. Colombo, Sandra Hirche, George J. Pappas:
Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics. IEEE Control. Syst. Lett. 6: 2090-2095 (2022) - [j129]Sean L. Bowman, Kostas Daniilidis, George J. Pappas:
Robust Object-Level Semantic Visual SLAM Using Semantic Keypoints. Field Robotics 2(1): 513-524 (2022) - [j128]Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris:
Learning Operators with Coupled Attention. J. Mach. Learn. Res. 23: 215:1-215:63 (2022) - [j127]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming. IEEE Trans. Autom. Control. 67(1): 1-15 (2022) - [j126]Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas:
Robust and Adaptive Sequential Submodular Optimization. IEEE Trans. Autom. Control. 67(1): 89-104 (2022) - [j125]Lars Lindemann, George J. Pappas, Dimos V. Dimarogonas:
Reactive and Risk-Aware Control for Signal Temporal Logic. IEEE Trans. Autom. Control. 67(10): 5262-5277 (2022) - [j124]Andreea B. Alexandru, George J. Pappas:
Private Weighted Sum Aggregation. IEEE Trans. Control. Netw. Syst. 9(1): 219-230 (2022) - [j123]Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas:
Resilient Active Information Acquisition With Teams of Robots. IEEE Trans. Robotics 38(1): 244-261 (2022) - [j122]Yiannis Kantaros, Samarth Kalluraya, Qi Jin, George J. Pappas:
Perception-Based Temporal Logic Planning in Uncertain Semantic Maps. IEEE Trans. Robotics 38(4): 2536-2556 (2022) - [j121]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multirobot Planning. IEEE Trans. Robotics 38(5): 3097-3112 (2022) - [c350]Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC 2022: 1447-1453 - [c349]Anastasia Impicciatore, Anastasios Tsiamis, Yuriy Zacchia Lun, Alessandro D'Innocenzo, George J. Pappas:
Secure state estimation over Markov wireless communication channels. CDC 2022: 2935-2940 - [c348]Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CDC 2022: 3389-3396 - [c347]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC 2022: 4179-4184 - [c346]Thomas Beckers, Leonardo J. Colombo, Manfred Morari, George J. Pappas:
Learning-based Balancing of Model-based and Feedback Control for Second-order Mechanical Systems. CDC 2022: 4667-4673 - [c345]Orlando Romero, Mouhacine Benosman, George J. Pappas:
ODE Discretization Schemes as Optimization Algorithms. CDC 2022: 6318-6325 - [c344]Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees. CDC 2022: 7254-7259 - [c343]Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas:
Learning to Control Linear Systems can be Hard. COLT 2022: 3820-3857 - [c342]Lars Lindemann, Alëna Rodionova, George J. Pappas:
Temporal Robustness of Stochastic Signals. HSCC 2022: 10:1-10:11 - [c341]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do deep networks transfer invariances across classes? ICLR 2022 - [c340]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML 2022: 18667-18686 - [c339]Mariliza Tzes, Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas:
Reactive Informative Planning for Mobile Manipulation Tasks under Sensing and Environmental Uncertainty. ICRA 2022: 7320-7326 - [c338]Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh, George J. Pappas, Vijay Kumar:
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR). IROS 2022: 8762-8769 - [c337]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. L4DC 2022: 596-607 - [c336]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. NeurIPS 2022 - [c335]