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Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections
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Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections

Neural Information Processing Systems (NeurIPS), 2019
Boris Muzellec
Marco Cuturi
    OT
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Papers citing "Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections"

21 / 21 papers shown
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Khai Nguyen
Hai Nguyen
N. Ho
OT3DPC3DV
163
1
0
24 Sep 2025
Streaming Sliced Optimal Transport
Streaming Sliced Optimal Transport
Khai Nguyen
OT
423
0
0
11 May 2025
Conditional Optimal Transport on Function Spaces
Conditional Optimal Transport on Function Spaces
Bamdad Hosseini
Alexander W. Hsu
Amirhossein Taghvaei
OT
417
22
0
09 Nov 2023
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Guillaume Mahey
Laetitia Chapel
Gilles Gasso
Clément Bonet
Nicolas Courty
OT
200
5
0
04 Jul 2023
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Oliver Struckmeier
I. Redko
Anton Mallasto
Karol Arndt
Markus Heinonen
Ville Kyrki
OTOOD
327
2
0
12 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
448
29
0
08 May 2023
An Approximation Theory Framework for Measure-Transport Sampling Algorithms
An Approximation Theory Framework for Measure-Transport Sampling AlgorithmsMathematics of Computation (Math. Comp.), 2023
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef M. Marzouk
A. Sagiv
OT
243
19
0
27 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse MapsInternational Conference on Machine Learning (ICML), 2023
Marco Cuturi
Stephen Zhang
Pierre Ablin
OT
238
18
0
08 Feb 2023
Unbalanced Optimal Transport, from Theory to Numerics
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
290
61
0
16 Nov 2022
Meta Optimal Transport
Meta Optimal TransportInternational Conference on Machine Learning (ICML), 2022
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
315
27
0
10 Jun 2022
Efficient estimates of optimal transport via low-dimensional embeddings
Efficient estimates of optimal transport via low-dimensional embeddings
Patric Fulop
V. Danos
OT
119
0
0
08 Nov 2021
Subspace Detours Meet Gromov-Wasserstein
Subspace Detours Meet Gromov-Wasserstein
Clément Bonet
Nicolas Courty
Franccois Septier
Lucas Drumetz
OT
186
6
0
21 Oct 2021
Dimensionality Reduction for Wasserstein Barycenter
Dimensionality Reduction for Wasserstein Barycenter
Zachary Izzo
Sandeep Silwal
Samson Zhou
255
20
0
18 Oct 2021
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
Aladin Virmaux
Illyyne Saffar
Jianfeng Zhang
Jun Yao
OOD
123
0
0
06 Oct 2021
Sliced $\mathcal{L}_2$ Distance for Colour Grading
Sliced L2\mathcal{L}_2 Distance for Colour GradingEuropean Signal Processing Conference (EUSIPCO), 2021
H. Alghamdi
Rozenn Dahyot
88
0
0
18 Feb 2021
On Transportation of Mini-batches: A Hierarchical Approach
On Transportation of Mini-batches: A Hierarchical ApproachInternational Conference on Machine Learning (ICML), 2021
Khai Nguyen
Dang Nguyen
Quoc Nguyen
Tung Pham
Hung Bui
Dinh Q. Phung
Trung Le
Nhat Ho
OT
216
19
0
11 Feb 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov WassersteinInternational Conference on Learning Representations (ICLR), 2020
Khai Nguyen
S. Nguyen
Nhat Ho
Tung Pham
Hung Bui
206
21
0
05 Oct 2020
Augmented Sliced Wasserstein Distances
Augmented Sliced Wasserstein Distances
Xiongjie Chen
Yongxin Yang
Yunpeng Li
373
21
0
15 Jun 2020
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef Marzouk
OTGAN
277
32
0
11 Jun 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular DynamicsInternational Conference on Machine Learning (ICML), 2020
Alexander Tong
Jessie Huang
Guy Wolf
David van Dijk
Smita Krishnaswamy
216
230
0
09 Feb 2020
Optimal transport mapping via input convex neural networks
Optimal transport mapping via input convex neural networksInternational Conference on Machine Learning (ICML), 2019
Ashok Vardhan Makkuva
Amirhossein Taghvaei
Sewoong Oh
Jason D. Lee
OT
332
231
0
28 Aug 2019