Learning Embeddings into Entropic Wasserstein Spaces

8 May 2019

Papers citing "Learning Embeddings into Entropic Wasserstein Spaces"

11 / 11 papers shown

Title
Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transport Annabel Ma Kaiying Hou David Alvarez-Melis Melanie Weber OT 4 0 0 25 Sep 2025
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems Saptarshi Nath Christos Peridis Eseoghene Benjamin Hengrong Du Soheil Kolouri Peter Kinnell Zexin Li Cong Liu Shirin Dora Andrea Soltoggio 118 0 0 05 Jun 2025
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 102 1 0 10 Jul 2024
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport Zihao Wang Weizhi Fei hang Yin Yangqiu Song Ginny Wong Simon See 109 21 0 06 May 2023
Neural Embedding: Learning the Embedding of the Manifold of Physics Data Sang Eon Park Philip C. Harris B. Ostdiek PINN DRL AI4CE 140 19 0 10 Aug 2022
Selecting task with optimal transport self-supervised learning for few-shot classification Renjie Xu Xinghao Yang Baodi Liu Kai Zhang Weifeng Liu OT OODD 121 2 0 01 Apr 2022
Towards Interpretable Deep Metric Learning with Structural Matching Wenliang Zhao Yongming Rao Ziyi Wang Jiwen Lu Jie Zhou FedML 115 48 0 12 Aug 2021
Re-evaluating Word Mover's Distance Ryoma Sato M. Yamada H. Kashima 171 24 0 30 May 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 99 12 0 24 Feb 2021
Permutation invariant networks to learn Wasserstein metrics Arijit Sehanobish N. Ravindra David van Dijk OOD 85 2 0 12 Oct 2020
Geometric Dataset Distances via Optimal TransportNeural Information Processing Systems (NeurIPS), 2025 David Alvarez-Melis Nicolò Fusi OT 179 220 0 07 Feb 2020