Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers

15 April 2024

Papers citing "Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers"

8 / 8 papers shown

Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 56 2 0 03 Apr 2025
Wasserstein Flow Matching: Generative modeling over families of distributions Doron Haviv Aram-Alexandre Pooladian D. Pe’er Brandon Amos OOD 42 0 0 01 Nov 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 35 2 0 09 Oct 2024
Wasserstein t-SNE Fynn Bachmann Philipp Hennig Dmitry Kobak 21 2 0 16 May 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 96 0 28 Jan 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 132 90 0 28 Jan 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,131 0 02 Dec 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 601 0 22 Sep 2016