Cohen, Samuel

12 publications

ICML 2023 Meta Optimal Transport Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko

ICLR 2023 Optimal Transport for Offline Imitation Learning Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

ICLR 2022 Cross-Domain Imitation Learning via Optimal Transport Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos

NeurIPSW 2022 Fair Synthetic Data Does Not Necessarily Lead to Fair Models Yam Eitan, Nathan Cavaglione, Michael Arbel, Samuel Cohen

ICML 2022 Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximillian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman

NeurIPSW 2022 Optimal Transport for Offline Imitation Learning Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

AISTATS 2021 Aligning Time Series on Incomparable Spaces Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Deisenroth

NeurIPSW 2021 Cross-Domain Imitation Learning via Optimal Transport Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos

NeurIPS 2021 Identifiability in Inverse Reinforcement Learning Haoyang Cao, Samuel Cohen, Lukasz Szpruch

NeurIPSW 2021 Imitation Learning from Pixel Observations for Continuous Control Samuel Cohen, Brandon Amos, Marc Peter Deisenroth, Mikael Henaff, Eugene Vinitsky, Denis Yarats

ICML 2021 Riemannian Convex Potential Maps Samuel Cohen, Brandon Amos, Yaron Lipman

ICML 2020 Healing Products of Gaussian Process Experts Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Deisenroth