NeurIPS 2023 Workshop OTML Submissions

Characterizing Out-of-Distribution Error via Optimal Transport
Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein
Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning
Ali Baheri
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Data-Conditional Diffusion Bridges
Ella Tamir, Martin Trapp, Arno Solin
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Zero-shot Cross-task Preference Alignment for Offline RL via Optimal Transport
Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Duality and Sample Complexity for the Gromov-Wasserstein Distance
Zhengxin Zhang, Ziv Goldfeld, Youssef Mroueh, Bharath Sriperumbudur
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Accelerating Motion Planning via Optimal Transport
An Le, Georgia Chalvatzaki, Armin Biess, Jan Peters
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Oral
- Readers: Everyone
SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy
Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
PTLP: Partial Transport $L^p$ Distances
Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Improved Stein Variational Gradient Descent with Importance Weights
Lukang Sun, Peter Richtárik
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Mathieu Serrurier, Franck Mamalet, Thomas FEL, Louis Béthune, Thibaut Boissin
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Aniket Das, Dheeraj Nagaraj
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Oral
- Readers: Everyone
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
Kai Yan, Alex Schwing, Yu-Xiong Wang
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone
Sliced Wasserstein Estimation with Control Variates
Khai Nguyen, Nhat Ho
- Published: 27 Oct 2023, Last Modified: 28 Dec 2023
- OTML 2023 Poster
- Readers: Everyone