| MobileTL: on-device transfer learning with inverted residual blocks HY Chiang, N Frumkin, F Liang, D Marculescu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7166-7174, 2023 | 5 | 2023 |
| Decentralized data collection for robotic fleet learning: A game-theoretic approach O Akcin, P Li, S Agarwal, SP Chinchali Conference on Robot Learning, 978-988, 2023 | 5* | 2023 |
| Decentralized sharing and valuation of fleet robotic data Y Geng, D Zhang, P Li, O Akcin, A Tang, SP Chinchali Conference on Robot Learning, 1795-1800, 2022 | 4 | 2022 |
| Differentially Private Timeseries Forecasts for Networked Control P Li, SP Chinchali, U Topcu 2023 American Control Conference (ACC), 3595-3601, 2023 | 3 | 2023 |
| Task-aware Distributed Source Coding under Dynamic Bandwidth P Li, SK Ankireddy, RP Zhao, H Nourkhiz Mahjoub, E Moradi Pari, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Adversarial Examples for Model-Based Control: A Sensitivity Analysis P Li, U Topcu, SP Chinchali 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 2 | 2022 |
| Online Foundation Model Selection in Robotics P Li, OS Toprak, A Narayanan, U Topcu, S Chinchali arXiv preprint arXiv:2402.08570, 2024 | | 2024 |
| Learning Adaptive Horizon Maps Based on Error Forecast for Model Predictive Control C Gonzalez, SH Bang, P Li, S Chinchali, L Sentis 2023 62nd IEEE Conference on Decision and Control (CDC), 8501-8508, 2023 | | 2023 |
Sandeep P ChinchaliAssistant Professor, UT Austin ECEVerified email at utexas.edu
