Spherical Tree-Sliced Wasserstein Distance

14 March 2025

Papers citing "Spherical Tree-Sliced Wasserstein Distance"

36 / 36 papers shown

Title
Tree-Sliced Wasserstein Distance with Nonlinear Projection T. Tran Viet-Hoang Tran Thanh T. Chu Trang Pham Laurent El Ghaoui Tam Le T. Nguyen 50 1 0 02 May 2025
Equivariant Polynomial Functional Networks Thieu N. Vo Viet-Hoang Tran Tho Tran Huu An Nguyen The Thanh Tran Minh-Khoi Nguyen-Nhat Duy-Tung Pham Tan Minh Nguyen 26 5 0 05 Oct 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 83 5 0 18 Sep 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 126 0 0 03 Jun 2024
Generalized Sobolev Transport for Probability Measures on a Graph Tam Le Truyen V. Nguyen Kenji Fukumizu OT 60 5 0 07 Feb 2024
Stereographic Spherical Sliced Wasserstein Distances Huy Tran Yikun Bai Abihith Kothapalli Ashkan Shahbazi Xinran Liu Rocio Diaz Martin Soheil Kolouri 34 7 0 04 Feb 2024
Scalable Unbalanced Sobolev Transport for Measures on a Graph Tam Le Truyen V. Nguyen Kenji Fukumizu OT 46 9 0 24 Feb 2023
3D reconstruction from spherical images: A review of techniques, applications, and prospects San Jiang Yaxin Li D. Weng Kan You Wu Chen 43 14 0 09 Feb 2023
Sliced Wasserstein Variational Inference Mingxuan Yi Song Liu 47 20 0 26 Jul 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 54 27 0 17 Jun 2022
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics Tam Le Truyen V. Nguyen Dinh Q. Phung Viet Anh Nguyen OT 87 15 0 22 Feb 2022
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Anthony Simeonov Yilun Du Andrea Tagliasacchi J. Tenenbaum Alberto Rodriguez Pulkit Agrawal Vincent Sitzmann 104 241 0 09 Dec 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 42 59 0 08 Mar 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 71 997 0 19 Feb 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice Tam Le Truyen V. Nguyen OT 50 15 0 24 Jan 2021
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 47 44 0 21 Oct 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 67 120 0 18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 191 4,051 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 306 6,718 0 13 Jun 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 115 1,808 0 20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 291 18,607 0 13 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 71 153 0 06 Feb 2020
Learning with minibatch Wasserstein : asymptotic and gradient properties Kilian Fatras Younes Zine Rémi Flamary Rémi Gribonval Nicolas Courty OT 47 91 0 09 Oct 2019
Tree-Sliced Variants of Wasserstein Distances Tam Le M. Yamada Kenji Fukumizu Marco Cuturi OT 28 81 0 01 Feb 2019
Massively scalable Sinkhorn distances via the Nyström method Jason M. Altschuler Francis R. Bach Alessandro Rudi Jonathan Niles-Weed 39 109 0 12 Dec 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 65 169 0 29 Oct 2018
Spherical Latent Spaces for Stable Variational Autoencoders Jiacheng Xu Greg Durrett BDL DRL 56 194 0 31 Aug 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 112 69 0 19 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 160 3,437 0 05 May 2018
Graph-Based Classification of Omnidirectional Images Renata Khasanova P. Frossard 61 71 0 26 Jul 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 222 2,790 0 26 Apr 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 218 3,681 0 26 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 140 1,917 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 107 528 0 01 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 168 4,210 0 04 Jun 2013