Revisiting invariances and introducing priors in Gromov-Wasserstein distances

19 July 2023

Papers citing "Revisiting invariances and introducing priors in Gromov-Wasserstein distances"

7 / 7 papers shown

Title
Identifying Sub-networks in Neural Networks via Functionally Similar Representations Tian Gao Amit Dhurandhar Karthikeyan N. Ramamurthy Dennis L. Wei 78 0 0 21 Oct 2024
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 125 204 0 07 Feb 2020
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 55 112 0 14 May 2019
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 68 274 0 23 May 2018
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 477 43,685 0 17 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 274 14,711 0 20 Jun 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,277 0 04 Jun 2013