Daniel Pfrommer

17 papers A* 4Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
A Test-Function Approach to Incremental Stability.
CDC
Daniel Pfrommer, Max Simchowitz, Ali Jadbabaie
2025 J jnl
A Test-Function Approach to Incremental Stability.
CoRR
Daniel Pfrommer, Max Simchowitz, Ali Jadbabaie
2025 J jnl
Is Your Conditional Diffusion Model Actually Denoising?
CoRR
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie
2025 J jnl
Much Ado About Noising: Dispelling the Myths of Generative Robotic Control.
CoRR
Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Boffi, Guanya Shi, Max Simchowitz
2025 J jnl
The Pitfalls of Imitation Learning when Actions are Continuous.
CoRR
Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie
2025 A* conf
The title of the paper.
COLT
Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie
2024 J jnl
Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control.
CoRR
Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
2024 — conf
On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control.
CDC
Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
2023 J jnl
Imitating Complex Trajectories: Bridging Low-Level Stability and High-Level Behavior.
CoRR
Adam Block, Daniel Pfrommer, Max Simchowitz
2023 A* conf
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior.
NeurIPS
Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake
2023 J jnl
Smooth Model Predictive Control with Applications to Statistical Learning.
CoRR
Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
2023 A* conf
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization.
ICML
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
2023 J jnl
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization.
CoRR
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
2022 J jnl
Linear Variational State Space Filtering.
CoRR
Daniel Pfrommer, Nikolai Matni
2022 A* conf
TaSIL: Taylor Series Imitation Learning.
NeurIPS
Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
2022 J jnl
TaSIL: Taylor Series Imitation Learning.
CoRR
Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
2021 J jnl
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar.
CoRR
Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann