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Properties of Discrete Sliced Wasserstein Losses

Properties of Discrete Sliced Wasserstein Losses

19 July 2023
Eloi Tanguy
Rémi Flamary
J. Delon
ArXivPDFHTML

Papers citing "Properties of Discrete Sliced Wasserstein Losses"

6 / 6 papers shown
Title
Bayesian Density-Density Regression with Application to Cell-Cell Communications
Bayesian Density-Density Regression with Application to Cell-Cell Communications
Khai Nguyen
Yang Ni
Peter Mueller
32
0
0
17 Apr 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Christophe Vauthier
Quentin Mérigot
Anna Korba
47
0
0
10 Feb 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients
Learning with Differentially Private (Sliced) Wasserstein Gradients
David Rodríguez-Vítores
Clément Lalanne
Jean-Michel Loubes
FedML
46
0
0
03 Feb 2025
LaCoOT: Layer Collapse through Optimal Transport
LaCoOT: Layer Collapse through Optimal Transport
Victor Quétu
Nour Hezbri
Enzo Tartaglione
34
0
0
13 Jun 2024
Convergence of SGD for Training Neural Networks with Sliced Wasserstein
  Losses
Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
Eloi Tanguy
36
6
0
21 Jul 2023
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
79
54
0
05 Jan 2021
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