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2020 – today
- 2025
[c6]Daniel Pfrommer, Max Simchowitz, Ali Jadbabaie:
A Test-Function Approach to Incremental Stability. CDC 2025: 157-164- [c5]Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie:
The title of the paper. COLT 2025: 5248-5351 - [i11]Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie:
The Pitfalls of Imitation Learning when Actions are Continuous. CoRR abs/2503.09722 (2025) - [i10]Daniel Pfrommer, Max Simchowitz, Ali Jadbabaie:
A Test-Function Approach to Incremental Stability. CoRR abs/2507.00695 (2025) - [i9]Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Boffi, Guanya Shi, Max Simchowitz:
Much Ado About Noising: Dispelling the Myths of Generative Robotic Control. CoRR abs/2512.01809 (2025) - [i8]Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie:
Is Your Conditional Diffusion Model Actually Denoising? CoRR abs/2512.18736 (2025) - 2024
- [c4]Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
:
On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control. CDC 2024: 1820-1825 - [i7]Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie:
Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. CoRR abs/2410.00859 (2024) - 2023
- [c3]Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu:
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. ICML 2023: 27737-27821 - [c2]Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake:
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior. NeurIPS 2023 - [i6]Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu:
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. CoRR abs/2305.09619 (2023) - [i5]Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie:
Smooth Model Predictive Control with Applications to Statistical Learning. CoRR abs/2306.01914 (2023) - [i4]Adam Block, Daniel Pfrommer, Max Simchowitz:
Imitating Complex Trajectories: Bridging Low-Level Stability and High-Level Behavior. CoRR abs/2307.14619 (2023) - 2022
- [c1]Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni:
TaSIL: Taylor Series Imitation Learning. NeurIPS 2022 - [i3]Daniel Pfrommer, Nikolai Matni:
Linear Variational State Space Filtering. CoRR abs/2201.01353 (2022) - [i2]Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni:
TaSIL: Taylor Series Imitation Learning. CoRR abs/2205.14812 (2022) - 2021
- [i1]Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann:
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar. CoRR abs/2104.11979 (2021)
Coauthor Index
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