Gabriel Peyré
43 papers · 2014–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Gabriel Peyré?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Marco Cuturi, Francois-Xavier Vialard, Thibault Sejourne
16 papers
· 2016–2024
· AISTATS, NeurIPS, ICML
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Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
AISTATS 2024
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
AISTATS 2022
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
ICML 2022
On global convergence of ResNets: From finite to infinite width using linear parameterization
NeurIPS 2022
Randomized Stochastic Gradient Descent Ascent
AISTATS 2022
Low-Rank Sinkhorn Factorization
ICML 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
NeurIPS 2021
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
NeurIPS 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NeurIPS 2020
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
AISTATS 2019
Sample Complexity of Sinkhorn Divergences
AISTATS 2019
Stochastic Deep Networks
ICML 2019
Learning Generative Models with Sinkhorn Divergences
AISTATS 2018
Fast Dictionary Learning with a Smoothed Wasserstein Loss
AISTATS 2016
Gromov-Wasserstein Averaging of Kernel and Distance Matrices
ICML 2016
Stochastic Optimization for Large-scale Optimal Transport
NeurIPS 2016