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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
- 2022
[j125]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)- [j124]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) - [j123]Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas:
Robust and Adaptive Sequential Submodular Optimization. IEEE Trans. Autom. Control. 67(1): 89-104 (2022) - [j122]Andreea B. Alexandru, George J. Pappas:
Private Weighted Sum Aggregation. IEEE Trans. Control. Netw. Syst. 9(1): 219-230 (2022) - [j121]Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas:
Resilient Active Information Acquisition With Teams of Robots. IEEE Trans. Robotics 38(1): 244-261 (2022) - [j120]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) - [c330]Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas:
Learning to Control Linear Systems can be Hard. COLT 2022: 3820-3857 - [c329]Lars Lindemann, Alëna Rodionova, George J. Pappas:
Temporal Robustness of Stochastic Signals. HSCC 2022: 10:1-10:11 - [c328]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML 2022: 18667-18686 - [c327]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 - [c326]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. L4DC 2022: 596-607 - [i136]Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris:
Learning Operators with Coupled Attention. CoRR abs/2201.01032 (2022) - [i135]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR abs/2202.01136 (2022) - [i134]Lars Lindemann, Alëna Rodionova, George J. Pappas:
Temporal Robustness of Stochastic Signals. CoRR abs/2202.02583 (2022) - [i133]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR abs/2203.01198 (2022) - [i132]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do Deep Networks Transfer Invariances Across Classes? CoRR abs/2203.09739 (2022) - [i131]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design. CoRR abs/2203.15661 (2022) - [i130]Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CoRR abs/2204.00846 (2022) - [i129]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. CoRR abs/2204.01107 (2022) - [i128]Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR abs/2204.03187 (2022) - [i127]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. CoRR abs/2204.04176 (2022) - [i126]Mariliza Tzes, Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas:
Reactive Informative Planning for Mobile Manipulation Tasks under Sensing and Environmental Uncertainty. CoRR abs/2205.06301 (2022) - [i125]Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas:
Learning to Control Linear Systems can be Hard. CoRR abs/2205.14035 (2022) - [i124]Lars Lindemann, Lejun Jiang, Nikolai Matni, George J. Pappas:
Risk of Stochastic Systems for Temporal Logic Specifications. CoRR abs/2205.14523 (2022) - [i123]Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR abs/2206.02834 (2022) - [i122]Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas:
NOMAD: Nonlinear Manifold Decoders for Operator Learning. CoRR abs/2206.03551 (2022) - [i121]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. CoRR abs/2206.03669 (2022) - [i120]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. CoRR abs/2207.09944 (2022) - [i119]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. CoRR abs/2208.00262 (2022) - 2021
- [j119]Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Sampling-based planning for non-myopic multi-robot information gathering. Auton. Robots 45(7): 1029-1046 (2021) - [j118]Konstantinos Gatsis, George J. Pappas:
Statistical learning for analysis of networked control systems over unknown channels. Autom. 125: 109386 (2021) - [j117]George J. Pappas, Kostas Daniilidis, Leonidas J. Guibas, Lydia E. Kavraki, Petros Koumoutsakos, Kostas J. Kyriakopoulos, John Lygeros, Michael S. Triantafyllou, Panagiotis Tsiotras:
Robotics in the AI era: A vision for a Hellenic Robotics Initiative. Found. Trends Robotics 9(3): 201-265 (2021) - [j116]Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett:
Teaching recurrent neural networks to infer global temporal structure from local examples. Nat. Mach. Intell. 3(4): 316-323 (2021) - [j115]Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment Using Redundancy. IEEE Robotics Autom. Lett. 6(2): 4217-4224 (2021) - [j114]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) - [j113]Konstantinos Gatsis, Hamed Hassani, George J. Pappas:
Latency-Reliability Tradeoffs for State Estimation. IEEE Trans. Autom. Control. 66(3): 1009-1023 (2021) - [j112]Vasileios Tzoumas, Luca Carlone, George J. Pappas, Ali Jadbabaie:
LQG Control and Sensing Co-Design. IEEE Trans. Autom. Control. 66(4): 1468-1483 (2021) - [j111]Andreea B. Alexandru, Konstantinos Gatsis, Yasser Shoukry, Sanjit A. Seshia, Paulo Tabuada, George J. Pappas:
Cloud-Based Quadratic Optimization With Partially Homomorphic Encryption. IEEE Trans. Autom. Control. 66(5): 2357-2364 (2021) - [j110]Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
On the Structural Target Controllability of Undirected Networks. IEEE Trans. Autom. Control. 66(10): 4836-4843 (2021) - [j109]Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas:
Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. ACM Trans. Cyber Phys. Syst. 5(2): 17:1-17:27 (2021) - [j108]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verifying the Safety of Autonomous Systems with Neural Network Controllers. ACM Trans. Embed. Comput. Syst. 20(1): 7:1-7:26 (2021) - [j107]Ke Sun, Brent Schlotfeldt, George J. Pappas, Vijay Kumar:
Stochastic Motion Planning Under Partial Observability for Mobile Robots With Continuous Range Measurements. IEEE Trans. Robotics 37(3): 979-995 (2021) - [c325]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 - [c324]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning. CAV (1) 2021: 249-262 - [c323]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. CDC 2021: 572-579 - [c322]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Federated Learning with Incrementally Aggregated Gradients. CDC 2021: 775-782 - [c321]Lars Lindemann, Nikolai Matni, George J. Pappas:
STL Robustness Risk over Discrete-Time Stochastic Processes. CDC 2021: 1329-1335 - [c320]Anastasios Tsiamis, George J. Pappas:
Linear Systems can be Hard to Learn. CDC 2021: 2903-2910 - [c319]Aritra Mitra, Hamed Hassani, George J. Pappas:
Online Federated Learning. CDC 2021: 4083-4090 - [c318]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Encrypted Distributed Lasso for Sparse Data Predictive Control. CDC 2021: 4901-4906 - [c317]Lars Lindemann, Matthew Cleaveland, Yiannis Kantaros, George J. Pappas:
Robust Motion Planning in the Presence of Estimation Uncertainty. CDC 2021: 5205-5212 - [c316]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
An Introduction to Neural Network Analysis via Semidefinite Programming. CDC 2021: 6341-6350 - [c315]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Region of Attraction for Nonlinear Systems. CDC 2021: 6477-6484 - [c314]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Lyapunov Functions for Hybrid Systems. CISS 2021: 1 - [c313]Austin K. Chen, Douglas G. Macharet, Daigo Shishika, George J. Pappas, Vijay Kumar:
Optimal Multi-robot Perimeter Defense Using Flow Networks. DARS 2021: 282-293 - [c312]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning lyapunov functions for hybrid systems. HSCC 2021: 13:1-13:11 - [c311]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Deep Reinforcement Learning for Active Target Tracking. ICRA 2021: 1825-1831 - [c310]Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas, Daniel E. Koditschek:
Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments. ICRA 2021: 6385-6392 - [c309]Yiannis Kantaros, George J. Pappas:
Scalable Active Information Acquisition for Multi-Robot Systems. ICRA 2021: 7987-7993 - [c308]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. ICRA 2021: 8859-8865 - [c307]Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari:
Scalable Reinforcement Learning Policies for Multi-Agent Control. IROS 2021: 4785-4791 - [c306]Mariliza Tzes, Yiannis Kantaros, George J. Pappas:
Distributed Sampling-based Planning for Non-Myopic Active Information Gathering. IROS 2021: 5872-5877 - [c305]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 - [c304]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c303]Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC 2021: 150-162 - [c302]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS 2021: 6198-6215 - [c301]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. NeurIPS 2021: 14606-14619 - [c300]Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. NeurIPS 2021: 16034-16050 - [c299]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. NeurIPS 2021: 20210-20229 - [e5]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - [i118]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. CoRR abs/2101.11093 (2021) - [i117]Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment using Redundancy. CoRR abs/2102.06265 (2021) - [i116]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR abs/2102.07053 (2021) - [i115]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. CoRR abs/2102.11436 (2021) - [i114]Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas:
Resilient Active Information Acquisition with Teams of Robots. CoRR abs/2103.02733 (2021) - [i113]Yiannis Kantaros, George J. Pappas:
Technical Report: Scalable Active Information Acquisition for Multi-Robot Systems. CoRR abs/2103.09364 (2021) - [i112]Anastasios Tsiamis, George J. Pappas:
Linear Systems can be Hard to Learn. CoRR abs/2104.01120 (2021) - [i111]Lars Lindemann, Nikolai Matni, George J. Pappas:
STL Robustness Risk over Discrete-Time Stochastic Processes. CoRR abs/2104.01503 (2021) - [i110]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. CoRR abs/2104.02677 (2021) - [i109]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Encrypted Distributed Lasso for Sparse Data Predictive Control. CoRR abs/2104.11632 (2021) - [i108]Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. CoRR abs/2105.14937 (2021) - [i107]Mariliza Tzes, Yiannis Kantaros, George J. Pappas:
Technical Report: Distributed Sampling-based Planning for Non-Myopic Active Information Gathering. CoRR abs/2107.11163 (2021) - [i106]Lars Lindemann, Matthew Cleaveland, Yiannis Kantaros, George J. Pappas:
Robust Motion Planning in the Presence of Estimation Uncertainty. CoRR abs/2108.11983 (2021) - [i105]Lars Lindemann, George J. Pappas, Dimos V. Dimarogonas:
Reactive and Risk-Aware Control for Signal Temporal Logic. CoRR abs/2108.13490 (2021) - [i104]Aritra Mitra, Hamed Hassani, George J. Pappas:
Exploiting Heterogeneity in Robust Federated Best-Arm Identification. CoRR abs/2109.05700 (2021) - [i103]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Region of Attraction for Nonlinear Systems. CoRR abs/2110.00731 (2021) - [i102]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) - [i101]Anastasios Tsiamis, Dionysios S. Kalogerias, Alejandro Ribeiro, George J. Pappas:
Linear Quadratic Control with Risk Constraints. CoRR abs/2112.07564 (2021) - [i100]Manuela Gamonal Fernández, Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control with Gaussian Processes. CoRR abs/2112.07779 (2021) - 2020
- [j106]Andrea Alessandretti, Sérgio Pequito, George J. Pappas, A. Pedro Aguiar:
Finite-dimensional control of linear discrete-time fractional-order systems. Autom. 115: 108512 (2020) - [j105]Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
A Control-Theoretic Approach to Analysis and Parameter Selection of Douglas-Rachford Splitting. IEEE Control. Syst. Lett. 4(1): 199-204 (2020) - [j104]Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek:
Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback. IEEE Robotics Autom. Lett. 5(3): 4455-4462 (2020) - [j103]Nicholas J. Watkins, Cameron Nowzari, George J. Pappas:
Robust Economic Model Predictive Control of Continuous-Time Epidemic Processes. IEEE Trans. Autom. Control. 65(3): 1116-1131 (2020) - [j102]Anastasios Tsiamis, Konstantinos Gatsis, George J. Pappas:
State-Secrecy Codes for Networked Linear Systems. IEEE Trans. Autom. Control. 65(5): 2001-2015 (2020) - [j101]Sean L. Bowman, Cameron Nowzari, George J. Pappas:
Consensus of Multiagent Systems Via Asynchronous Cloud Communication. IEEE Trans. Control. Netw. Syst. 7(2): 627-637 (2020) - [j100]Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Network Design for Controllability Metrics. IEEE Trans. Control. Netw. Syst. 7(3): 1404-1415 (2020) - [j99]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) - [c298]Lars Lindemann, George J. Pappas, Dimos V. Dimarogonas:
Control Barrier Functions for Nonholonomic Systems under Risk Signal Temporal Logic Specifications. CDC 2020: 1422-1428 - [c297]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CDC 2020: 3040-3047 - [c296]Pushpak Jagtap, George J. Pappas, Majid Zamani:
Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes. CDC 2020: 3699-3704 - [c295]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Towards Private Data-driven Control. CDC 2020: 5449-5456 - [c294]Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. CDC 2020: 5929-5934 - [c293]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 - [c292]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Case study: verifying the safety of an autonomous racing car with a neural network controller. HSCC 2020: 28:1-28:7 - [c291]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 - [c290]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 - [c289]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. ICRA 2020: 2479-2485 - [c288]Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar:
Information Theoretic Active Exploration in Signed Distance Fields. ICRA 2020: 4080-4085 - [c287]Yiannis Kantaros, Matthew Malencia, Vijay Kumar, George J. Pappas:
Reactive Temporal Logic Planning for Multiple Robots in Unknown Environments. ICRA 2020: 11479-11485 - [c286]Douglas G. Macharet, Austin K. Chen, Daigo Shishika, George J. Pappas, Vijay Kumar:
Adaptive Partitioning for Coordinated Multi-agent Perimeter Defense. IROS 2020: 7971-7977 - [c285]Anastasios Tsiamis, Nikolai Matni, George J. Pappas:
Sample Complexity of Kalman Filtering for Unknown Systems. L4DC 2020: 435-444 - [c284]Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. L4DC 2020: 884-893 - [e4]Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Proceedings of Machine Learning Research 120, PMLR 2020 [contents] - [i99]Anastasios Tsiamis, George J. Pappas:
Online Learning of the Kalman Filter with Logarithmic Regret. CoRR abs/2002.05141 (2020) - [i98]Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek:
Technical Report: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback. CoRR abs/2002.12349 (2020) - [i97]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CoRR abs/2004.04685 (2020) - [i96]Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. CoRR abs/2004.07876 (2020) - [i95]Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. CoRR abs/2005.00616 (2020) - [i94]Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett:
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. CoRR