| TaSIL: Taylor Series Imitation Learning D Pfrommer, T Zhang, S Tu, N Matni Advances in Neural Information Processing Systems 35, 20162-20174, 2022 | 18 | 2022 |
| The power of learned locally linear models for nonlinear policy optimization D Pfrommer, M Simchowitz, T Westenbroek, N Matni, S Tu International Conference on Machine Learning, 27737-27821, 2023 | 4 | 2023 |
| Provable guarantees for generative behavior cloning: Bridging low-level stability and high-level behavior A Block, A Jadbabaie, D Pfrommer, M Simchowitz, R Tedrake Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Linear Variational State Space Filtering D Pfrommer, N Matni arXiv preprint arXiv:2201.01353, 2022 | 2 | 2022 |
| Smooth Model Predictive Control with Applications to Statistical Learning K Ahn, D Pfrommer, J Umenberger, T Marcucci, Z Mhammedi, ... arXiv preprint arXiv:2306.01914, 2023 | | 2023 |
Nikolai MatniAssistant Professor of Electrical and Systems Engineering, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
