George J. Pappas

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 395

Top Venues

CoRR

CDC

ACC

IEEE Trans. Autom. Control.

Publications

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)
Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR (2024)
Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming. AAAI (2024)
Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
Active Learning for Control-Oriented Identification of Nonlinear Systems. CoRR (2024)
Shayan Kiyani, George J. Pappas, Hamed Hassani
Conformal Prediction with Learned Features. CoRR (2024)
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 (2024)
Mahdi Sabbaghi, George J. Pappas, Hamed Hassani, Surbhi Goel
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks. CoRR (2024)
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 (2024)
Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR (2024)
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 (2024)
Charis J. Stamouli, Lars Lindemann, George J. Pappas
Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees. L4DC (2024)
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)
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 (2024)
Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR (2024)
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 (2024)
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 (2024)
Charis J. Stamouli, Ingvar M. Ziemann, George J. Pappas
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method. CoRR (2024)
Shayan Kiyani, George J. Pappas, Hamed Hassani
Length Optimization in Conformal Prediction. CoRR (2024)
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)
Zhixian Xie, Wenlong Zhang, Yi Ren, Zhaoran Wang, George J. Pappas, Wanxin Jin
Safe MPC Alignment with Human Directional Feedback. CoRR (2024)
Charis J. Stamouli, Lars Lindemann, George J. Pappas
Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees. CoRR (2024)
Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann
Multi-modal conformal prediction regions by optimizing convex shape templates. L4DC (2024)
Aritra Mitra, George J. Pappas, Hamed Hassani
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)
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 (2024)
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)
Charis J. Stamouli, Evangelos Chatzipantazis, George J. Pappas
Structural Risk Minimization for Learning Nonlinear Dynamics. CoRR (2023)
Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris
Variational Autoencoding Neural Operators. ICML (2023)
Thomas Beckers, Qirui Wu, George J. Pappas
Physics-enhanced Gaussian Process Variational Autoencoder. CoRR (2023)
Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR (2023)
Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling. CoRR (2023)
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)
Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction. CoRR (2023)
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)
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) (2023)
Thomas Beckers, Qirui Wu, George J. Pappas
Physics-enhanced Gaussian Process Variational Autoencoder. L4DC (2023)
Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CoRR (2023)
Kong Yao Chee, M. Ani Hsieh, George J. Pappas
Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction. CDC (2023)
Samarth Kalluraya, George J. Pappas, Yiannis Kantaros
Resilient Temporal Logic Planning in the Presence of Robot Failures. CDC (2023)
Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR (2023)
Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
Active Collaborative Localization in Heterogeneous Robot Teams. Robotics: Science and Systems (2023)
Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
The noise level in linear regression with dependent data. CoRR (2023)
Alëna Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas
Combined Left and Right Temporal Robustness for Control under STL Specifications. CoRR (2023)
Lars Lindemann, Matthew Cleaveland, Gihyun Shim, George J. Pappas
Safe Planning in Dynamic Environments Using Conformal Prediction. IEEE Robotics Autom. Lett. 8 (8) (2023)
Samarth Kalluraya, George J. Pappas, Yiannis Kantaros
Multi-Robot Mission Planning in Dynamic Semantic Environments. ICRA (2023)
Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann
Conformal Prediction Regions for Time Series using Linear Complementarity Programming. CoRR (2023)
Aritra Mitra, George J. Pappas, Hamed Hassani
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR (2023)
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)
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)
Thomas Beckers, Tom Z. Jiahao, George J. Pappas
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. CoRR (2023)
Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
Active Collaborative Localization in Heterogeneous Robot Teams. CoRR (2023)
Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas
Conformal Prediction for STL Runtime Verification. ICCPS (2023)
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR (2023)
Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR (2023)
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 (2023)
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)
Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Ioannis G. Kevrekidis, Mahyar Fazlyab
Certified Invertibility in Neural Networks via Mixed-Integer Programming. CoRR (2023)
Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris
Variational Autoencoding Neural Operators. CoRR (2023)
Mariliza Tzes, Nikolaos Bousias, Evangelos Chatzipantazis, George J. Pappas
Graph Neural Networks for Multi-Robot Active Information Acquisition. ICRA (2023)
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)
Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
The noise level in linear regression with dependent data. NeurIPS (2023)
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 (2023)
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 (2023)
Anastasios Tsiamis, George J. Pappas
Online Learning of the Kalman Filter With Logarithmic Regret. IEEE Trans. Autom. Control. 68 (5) (2023)
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) (2023)
Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann
Safe Perception-Based Control Under Stochastic Sensor Uncertainty Using Conformal Prediction. CDC (2023)
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 (2023)
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 (2023)
Lars Lindemann, Lejun Jiang, Nikolai Matni, George J. Pappas
Risk of Stochastic Systems for Temporal Logic Specifications. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
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 (2023)
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)
Samarth Kalluraya, George J. Pappas, Yiannis Kantaros
Resilient Temporal Logic Planning in the Presence of Robot Failures. CoRR (2023)
Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas
Conformal Prediction for STL Runtime Verification. Allerton (2023)
Aritra Mitra, Hamed Hassani, George J. Pappas
Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC (2023)
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)
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR (2023)
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 (2023)
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) (2023)
Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann
Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates. CoRR (2023)
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)
Matthew Malencia, George J. Pappas, Vijay Kumar
Socially Fair Coverage Control. ICRA (2023)
Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
Safety Filter Design for Neural Network Systems via Convex Optimization. CoRR (2023)
Anastasia Impicciatore, Anastasios Tsiamis, Yuriy Zacchia Lun, Alessandro D'Innocenzo, George J. Pappas
Secure state estimation over Markov wireless communication channels (extended version). CoRR (2022)
Andreea B. Alexandru, George J. Pappas
Private Weighted Sum Aggregation. IEEE Trans. Control. Netw. Syst. 9 (1) (2022)
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
Do deep networks transfer invariances across classes? ICLR (2022)
Sean L. Bowman, Kostas Daniilidis, George J. Pappas
Robust Object-Level Semantic Visual SLAM Using Semantic Keypoints. Field Robotics 2 (1) (2022)
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)
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR (2022)
Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas
Learning to Control Linear Systems can be Hard. CoRR (2022)
Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC (2022)
Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas
Robust and Adaptive Sequential Submodular Optimization. IEEE Trans. Autom. Control. 67 (1) (2022)
Samarth Kalluraya, George J. Pappas, Yiannis Kantaros
Multi-robot Mission Planning in Dynamic Semantic Environments. CoRR (2022)
Anastasia Impicciatore, Anastasios Tsiamis, Yuriy Zacchia Lun, Alessandro D'Innocenzo, George J. Pappas
Secure state estimation over Markov wireless communication channels. CDC (2022)
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)
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
Do Deep Networks Transfer Invariances Across Classes? CoRR (2022)
Matthew Cleaveland, Lars Lindemann, Radoslav Ivanov, George J. Pappas
Risk verification of stochastic systems with neural network controllers. Artif. Intell. 313 (2022)
Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas
Resilient Active Information Acquisition With Teams of Robots. IEEE Trans. Robotics 38 (1) (2022)
Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR (2022)
Anastasios Tsiamis, Ingvar M. Ziemann, Nikolai Matni, George J. Pappas
Statistical Learning Theory for Control: A Finite Sample Perspective. CoRR (2022)
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC (2022)
Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas
Learning to Control Linear Systems can be Hard. COLT (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

George J. Pappas