| Vibration-driven microrobot positioning methodologies for nonholonomic constraint compensation K Vlachos, D Papadimitriou, E Papadopoulos Engineering 1 (1), 066-072, 2015 | 19 | 2015 |
| Control of unknown nonlinear systems with linear time-varying MPC D Papadimitriou, U Rosolia, F Borrelli 2020 59th IEEE Conference on Decision and Control (CDC), 2258-2263, 2020 | 9 | 2020 |
| Bayesian inverse constrained reinforcement learning D Papadimitriou, U Anwar, DS Brown Workshop on Safe and Robust Control of Uncertain Systems (NeurIPS), 2021 | 8 | 2021 |
| Bayesian Methods for Constraint Inference in Reinforcement Learning D Papadimitriou, U Anwar, DS Brown Transactions on Machine Learning Research, 2022 | 7 | 2022 |
| Data-driven low-rank neural network compression D Papadimitriou, S Jain 2021 IEEE International Conference on Image Processing (ICIP), 3547-3551, 2021 | 5 | 2021 |
| Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization D Papadimitriou, J Li 2023 62nd IEEE Conference on Decision and Control (CDC), 1762 - 1769, 2023 | 2 | 2023 |
| Monte Carlo bias correction in Q-learning D Papadimitriou International Conference on Artificial General Intelligence, 343-352, 2022 | 1 | 2022 |
| Low displacement rank based deep neural network compression F Racape, J Swayambhoo, S Hamidi-Rad, D Papadimitriou US Patent App. 17/438,079, 2022 | 1 | 2022 |
| Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models D Papadimitriou, DS Brown IEEE International Conference on Robotics and Automation (ICRA), 2024 | | 2024 |
| Artificial intelligence (AI) models to improve image processing related to pre and post item deliveries S. Wang, D. Papadimitriou, M. Kafai, J. Sherwin, A. Sharma US Patent US11900686B1, 2024 | | 2024 |
| Artificial intelligence (AI) models to improve image processing related to item deliveries S. Wang, D. Papadimitriou, M. Kafai, J. Sherwin, A. Sharma, L. Thompkins US Patent US11699287B1, 2023 | | 2023 |
| Neural Network Compression with Low Rank Structured Layers D Papadimitriou University of California, Berkeley, 2022 | | 2022 |
| Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression D Papadimitriou, S Sojoudi 2022 American Control Conference (ACC), 2748-2754, 2022 | | 2022 |
Daniel S. BrownAssistant Professor, Robotics Center and School of Computing, University of UtahVerified email at cs.utah.edu
