Pfrommer, Daniel

8 publications

ICLR 2026 Action Chunking and Data Augmentation Yield Exponential Improvements in Behavior Cloning for Continuous Spaces Thomas TCK Zhang, Daniel Pfrommer, Chaoyi Pan, Nikolai Matni, Max Simchowitz

ICLR 2026 Much Ado About Noising: Dispelling the Myths of Generative Robotic Control Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Matthew Boffi, Guanya Shi, Max Simchowitz

NeurIPS 2025 Is Your Diffusion Model Actually Denoising? Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie

COLT 2025 The Pitfalls of Imitation Learning When Actions Are Continuous Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie

ICMLW 2023 On the Imitation of Non-Markovian Demonstrations: From Low-Level Stability to High-Level Planning Adam Block, Daniel Pfrommer, Max Simchowitz

NeurIPS 2023 Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake

ICML 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu

NeurIPS 2022 TaSIL: Taylor Series Imitation Learning Daniel Pfrommer, Thomas Zhang, Stephen Tu, Nikolai Matni