


Остановите войну!
for scientists:


default search action
George J. Pappas
Person information

- affiliation: University of Pennsylvania, Philadelphia, PA, USA
- award (2002): Presidential Early Career Award for Scientists and Engineers
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j131]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) - [j130]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) - [j129]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) - [i150]Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR abs/2301.00944 (2023) - [i149]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) - [i148]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) - [i147]Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris:
Variational Autoencoding Neural Operators. CoRR abs/2302.10351 (2023) - 2022
- [j128]Matthew Cleaveland
, Lars Lindemann
, Radoslav Ivanov
, George J. Pappas
:
Risk verification of stochastic systems with neural network controllers. Artif. Intell. 313: 103782 (2022) - [j127]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) - [j126]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) - [j125]Vasileios Tzoumas
, Ali Jadbabaie
, George J. Pappas
:
Robust and Adaptive Sequential Submodular Optimization. IEEE Trans. Autom. Control. 67(1): 89-104 (2022) - [j124]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) - [j123]Andreea B. Alexandru
, George J. Pappas
:
Private Weighted Sum Aggregation. IEEE Trans. Control. Netw. Syst. 9(1): 219-230 (2022) - [j122]Brent Schlotfeldt
, Vasileios Tzoumas
, George J. Pappas
:
Resilient Active Information Acquisition With Teams of Robots. IEEE Trans. Robotics 38(1): 244-261 (2022) - [j121]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) - [j120]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) - [c347]Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC 2022: 1447-1453 - [c346]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 - [c345]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 - [c344]Arman Adibi
, Aritra Mitra, George J. Pappas, Hamed Hassani:
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC 2022: 4179-4184 - [c343]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 - [c342]Orlando Romero, Mouhacine Benosman, George J. Pappas:
ODE Discretization Schemes as Optimization Algorithms. CDC 2022: 6318-6325 - [c341]Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees. CDC 2022: 7254-7259 - [c340]Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas:
Learning to Control Linear Systems can be Hard. COLT 2022: 3820-3857 - [c339]Lars Lindemann, Alëna Rodionova, George J. Pappas:
Temporal Robustness of Stochastic Signals. HSCC 2022: 10:1-10:11 - [c338]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do deep networks transfer invariances across classes? ICLR 2022 - [c337]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML 2022: 18667-18686 - [c336]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 - [c335]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 - [c334]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. L4DC 2022: 596-607 - [i146]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) - [i145]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) - [i144]Lars Lindemann, Alëna Rodionova, George J. Pappas:
Temporal Robustness of Stochastic Signals. CoRR abs/2202.02583 (2022) - [i143]Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR abs/2203.01198 (2022) - [i142]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) - [i141]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design. CoRR abs/2203.15661 (2022) - [i140]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) - [i139]Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. CoRR abs/2204.01107 (2022) - [i138]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) - [i137]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) - [i136]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) - [i135]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) - [i134]Lars Lindemann, Lejun Jiang, Nikolai Matni, George J. Pappas:
Risk of Stochastic Systems for Temporal Logic Specifications. CoRR abs/2205.14523 (2022) - [i133]Aritra Mitra, Arman Adibi
, George J. Pappas, Hamed Hassani:
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR abs/2206.02834 (2022) - [i132]Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas:
NOMAD: Nonlinear Manifold Decoders for Operator Learning. CoRR abs/2206.03551 (2022) - [i131]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) - [i130]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) - [i129]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) - [i128]Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh, George J. Pappas, Vijay Kumar:
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR). CoRR abs/2208.06053 (2022) - [i127]Kelsey Saulnier, Lifeng Zhou, George J. Pappas, Vijay Kumar:
Resilient Consensus via Voronoi Communication Graphs. CoRR abs/2209.04381 (2022) - [i126]Anastasia Impicciatore, Anastasios Tsiamis, Yuriy Zacchia Lun, Alessandro D'Innocenzo, George J. Pappas:
Secure state estimation over Markov wireless communication channels (extended version). CoRR abs/2209.05146 (2022) - [i125]Anastasios Tsiamis, Ingvar M. Ziemann, Nikolai Matni, George J. Pappas:
Statistical Learning Theory for Control: A Finite Sample Perspective. CoRR abs/2209.05423 (2022) - [i124]Samarth Kalluraya, George J. Pappas, Yiannis Kantaros:
Multi-robot Mission Planning in Dynamic Semantic Environments. CoRR abs/2209.06323 (2022) - [i123]Matthew Cleaveland, Lars Lindemann, Radoslav Ivanov, George J. Pappas:
Risk Verification of Stochastic Systems with Neural Network Controllers. CoRR abs/2209.09881 (2022) - [i122]Mariliza Tzes, Nikolaos Bousias, Evangelos Chatzipantazis, George J. Pappas:
Graph Neural Networks for Multi-Robot Active Information Acquisition. CoRR abs/2209.12091 (2022) - [i121]Lars Lindemann, Matthew Cleaveland, Gihyun Shim, George J. Pappas:
Safe Planning in Dynamic Environments using Conformal Prediction. CoRR abs/2210.10254 (2022) - [i120]Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas:
Conformal Prediction for STL Runtime Verification. CoRR abs/2211.01539 (2022) - [i119]Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick:
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. CoRR abs/2212.00278 (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) - [c333]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 - [c332]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 - [c331]Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. CDC 2021: 572-579 - [c330]Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Federated Learning with Incrementally Aggregated Gradients. CDC 2021: 775-782 - [c329]Lars Lindemann, Nikolai Matni, George J. Pappas:
STL Robustness Risk over Discrete-Time Stochastic Processes. CDC 2021: 1329-1335 - [c328]Anastasios Tsiamis, George J. Pappas:
Linear Systems can be Hard to Learn. CDC 2021: 2903-2910 - [c327]Aritra Mitra, Hamed Hassani, George J. Pappas:
Online Federated Learning. CDC 2021: 4083-4090 - [c326]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Encrypted Distributed Lasso for Sparse Data Predictive Control. CDC 2021: 4901-4906 - [c325]Lars Lindemann, Matthew Cleaveland, Yiannis Kantaros, George J. Pappas:
Robust Motion Planning in the Presence of Estimation Uncertainty. CDC 2021: 5205-5212 - [c324]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
An Introduction to Neural Network Analysis via Semidefinite Programming. CDC 2021: 6341-6350 - [c323]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Region of Attraction for Nonlinear Systems. CDC 2021: 6477-6484 - [c322]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Lyapunov Functions for Hybrid Systems. CISS 2021: 1 - [c321]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 - [c320]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning lyapunov functions for hybrid systems. HSCC 2021: 13:1-13:11 - [c319]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Deep Reinforcement Learning for Active Target Tracking. ICRA 2021: 1825-1831 - [c318]Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas, Daniel E. Koditschek:
Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments. ICRA 2021: 6385-6392 - [c317]Yiannis Kantaros, George J. Pappas:
Scalable Active Information Acquisition for Multi-Robot Systems. ICRA 2021: 7987-7993 - [c316]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 - [c315]Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari:
Scalable Reinforcement Learning Policies for Multi-Agent Control. IROS 2021: 4785-4791 - [c314]Mariliza Tzes
, Yiannis Kantaros, George J. Pappas:
Distributed Sampling-based Planning for Non-Myopic Active Information Gathering. IROS 2021: 5872-5877 - [c313]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 - [c312]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c311]Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC 2021: 150-162 - [c310]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS 2021: 6198-6215 - [c309]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 - [c308]Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. NeurIPS 2021: 16034-16050 - [c307]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]