Improving Molecular Representation Learning with Metric
Learning-enhanced Optimal Transport

Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport

13 February 2022

Stan Z. Li

Papers citing "Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport"

8 / 8 papers shown

Title
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 29 0 0 22 Oct 2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers D. Haviv Russell Z. Kunes Thomas Dougherty Cassandra Burdziak T. Nawy Anna Gilbert D. Pe’er OT 24 5 0 15 Apr 2024
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design Fang Wu Stan Z. Li 27 17 0 30 Oct 2023
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 25 47 0 16 Nov 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition D. Kim B. Song OT 26 10 0 25 Sep 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 63 53 0 05 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020