| Data-driven chance constrained control using kernel distribution embeddings A Thorpe, T Lew, M Oishi, M Pavone Learning for Dynamics and Control Conference, 790-802, 2022 | 24 | 2022 |
| Arch-comp21 category report: Stochastic models A Abate, H Blom, M Bouissou, N Cauchi, H Chraibi, J Delicaris, ... 8th International Workshop on Applied Verification of Continuous and Hybrid …, 2021 | 16 | 2021 |
| Learning approximate forward reachable sets using separating kernels AJ Thorpe, KR Ortiz, MMK Oishi Learning for dynamics and control, 201-212, 2021 | 15 | 2021 |
| Model-Free Stochastic Reachability Using Kernel Distribution Embeddings AJ Thorpe, MMK Oishi IEEE Control Systems Letters, 2019 | 15 | 2019 |
| State-Based Confidence Bounds for Data-Driven Stochastic Reachability Using Hilbert Space Embeddings AJ Thorpe, KR Ortiz, MMK Oishi Automatica, 2022 | 14* | 2022 |
| Physics-informed kernel embeddings: Integrating prior system knowledge with data-driven control AJ Thorpe, C Neary, F Djeumou, MMK Oishi, U Topcu 2024 American Control Conference (ACC), 3130-3137, 2024 | 11 | 2024 |
| Stochastic optimal control via Hilbert space embeddings of distributions AJ Thorpe, MMK Oishi 2021 60th IEEE Conference on Decision and Control (CDC), 904-911, 2021 | 9 | 2021 |
| Approximate Stochastic Reachability for High Dimensional Systems AJ Thorpe, V Sivaramakrishnan, MMK Oishi arXiv preprint arXiv:1910.10818, 2019 | 9 | 2019 |
| SOCKS: A stochastic optimal control and reachability toolbox using kernel methods A Thorpe, M Oishi Proceedings of the 25th ACM International Conference on Hybrid Systems …, 2022 | 8 | 2022 |
| Characterizing within-driver variability in driving dynamics during obstacle avoidance maneuvers KR Ortiz, AJ Thorpe, AM Perez, M Luster, BJ Pitts, M Oishi IFAC-PapersOnLine 55 (41), 13-19, 2022 | 5 | 2022 |
| SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions AJ Thorpe, KR Ortiz, MMK Oishi 2021 60th IEEE Conference on Decision and Control (CDC), 5073-5079, 2021 | 5 | 2021 |
| Sensor selection for dynamics-driven user-interface design AP Vinod, AJ Thorpe, PA Olaniyi, TH Summers, MMK Oishi IEEE Transactions on Control Systems Technology 30 (1), 71-84, 2021 | 5 | 2021 |
| Using Reward Shaping to Train Cognitive-Based Control Policies for Intelligent Tutoring Systems MS Yuh, E Rabb, A Thorpe, N Jain 2024 American Control Conference (ACC), 3223-3230, 2024 | 4 | 2024 |
| Data-driven stochastic optimal control using kernel gradients AJ Thorpe, JA Gonzales, MMK Oishi 2023 American Control Conference (ACC), 2548-2553, 2023 | 4 | 2023 |
| Basis-to-basis operator learning using function encoders T Ingebrand, AJ Thorpe, S Goswami, K Kumar, U Topcu Computer Methods in Applied Mechanics and Engineering 435, 117646, 2025 | 3 | 2025 |
| Zero-Shot Transfer of Neural ODEs T Ingebrand, AJ Thorpe, U Topcu arXiv preprint arXiv:2405.08954, 2024 | 2 | 2024 |
| Gpsindy: Data-driven discovery of equations of motion J Hsin, S Agarwal, A Thorpe, D Fridovich-Keil arXiv preprint arXiv:2309.11076, 2023 | 2 | 2023 |
| Autonomous Multi-Platform Sensor Scheduling for Intelligence Surveillance and Reconnaissance. J Richards, A Patel, A Thorpe, R Schlossman Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 2 | 2019 |
| Trust-based user-interface design for human-automation systems AP Vinod, AJ Thorpe, PA Olaniyi, TH Summers, MMK Oishi arXiv preprint arXiv:2004.07176, 2020 | 1 | 2020 |
| Phononic Barrier Communication: Channeling Information and Energy through Metallic Barriers with High Fidelity High efficiency and Low Bit Errors. IF El-Kady, CM Reinke, JR Pillars, CL Arrington, A Thorpe Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 1 | 2019 |
Meeko OishiProfessor, Electrical and Computer Engineering, University of New MexicoVerified email at unm.edu