Robust counterfactual explanations for neural networks with probabilistic guarantees F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta International Conference on Machine Learning, 12351-12367, 2023 | 13 | 2023 |
Risk-sensitive reinforce: A monte carlo policy gradient algorithm for exponential performance criteria E Noorani, JS Baras 2021 60th IEEE Conference on Decision and Control (CDC), 1522-1527, 2021 | 11 | 2021 |
Risk-sensitive reinforcement learning and robust learning for control E Noorani, JS Baras 2021 60th IEEE Conference on Decision and Control (CDC), 2976-2981, 2021 | 6 | 2021 |
Risk-sensitive reinforcement learning with exponential criteria E Noorani, C Mavridis, J Baras arXiv preprint arXiv:2212.09010, 2022 | 5 | 2022 |
Risk sensitivity and entropy regularization in prototype-based learning C Mavridis, E Noorani, JS Baras 2022 30th Mediterranean Conference on Control and Automation (MED), 194-199, 2022 | 5 | 2022 |
Collaborative one-shot beamforming under localization errors: A discrete optimization approach Y Savas, E Noorani, A Koppel, J Baras, U Topcu, BM Sadler Signal Processing 200, 108647, 2022 | 4 | 2022 |
Embracing risk in reinforcement learning: The connection between risk-sensitive exponential and distributionally robust criteria E Noorani, JS Baras 2022 American Control Conference (ACC), 2703-2708, 2022 | 4 | 2022 |
A probabilistic perspective on risk-sensitive reinforcement learning E Noorani, JS Baras 2022 American Control Conference (ACC), 2697-2702, 2022 | 3 | 2022 |
Collaborative beamforming for agents with localization errors E Noorani, Y Savas, A Koppel, J Baras, U Topcu, BM Sadler 2021 55th Asilomar Conference on Signals, Systems, and Computers, 204-208, 2021 | 3 | 2021 |
Co-design of watermarking and robust control for security in cyber-physical systems R Goyal, C Somarakis, E Noorani, S Rane 2022 IEEE 61st Conference on Decision and Control (CDC), 4821-4826, 2022 | 2 | 2022 |
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations D Baumann, E Noorani, J Price, O Peters, C Connaughton, TB Schön arXiv preprint arXiv:2310.11335, 2023 | 1 | 2023 |
Multi-agent deep reinforcement learning for shock wave detection and dissipation using vehicle-to-vehicle communication N Suriyarachchi, E Noorani, FM Tariq, JS Baras 2022 IEEE 61st Conference on Decision and Control (CDC), 4072-4077, 2022 | 1 | 2022 |
Risk-attitudes, Trust, and Emergence of Coordination in Multi-agent Reinforcement Learning Systems: A Study of Independent Risk-sensitive REINFORCE E Noorani, JS Baras 2022 European Control Conference (ECC), 2266-2271, 2022 | 1 | 2022 |
From Regularization to Risk-Sensitivity–and Back Again E Noorani, JS Baras IFAC-PapersOnLine 55 (15), 33-38, 2022 | 1 | 2022 |
Collaborative beamforming under localization errors: a discrete optimization approach E Noorani, Y Savas, A Koppel, J Baras, U Topcu, BM Sadler arXiv preprint arXiv:2003.12637, 2020 | 1 | 2020 |
Integrating ML and AI in Model-Based Systems Engineering for Trusted Autonomy J Baras, S Damera, P Kumar, C Enwerem, D Hunter, E Noorani Center for Model-Based Cyber-Physical Product Development 33 (18), 2024 | | 2024 |
Method and architecture for AI-assisted supervision for a controlled system C Somarakis, E Noorani, R Goyal, AB Feldman, S Rane US Patent 11,960,273, 2024 | | 2024 |
Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems C Somarakis, R Goyal, E Noorani, S Rane arXiv preprint arXiv:2404.00850, 2024 | | 2024 |
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications NK Le, E Noorani, S Hirche, J Baras arXiv preprint arXiv:2403.10735, 2024 | | 2024 |
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis R Liu, E Noorani, P Tokekar, JS Baras arXiv preprint arXiv:2403.08955, 2024 | | 2024 |