World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
23401
World Ranking
2160
National Ranking
24

Mathematics

D-Index
68
Citations
23393
World Ranking
306
National Ranking
15

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Gabriel Peyré is affiliated with the École Normale Supérieure in France and has a research focus spanning computer science and biochemistry, genetics, and molecular biology. Their work addresses key areas in artificial intelligence, molecular biology, computational mechanics, computer vision and pattern recognition, and statistics and probability.

The scientist's research topics include:

  • Single-cell and spatial transcriptomics
  • Sparse and compressive sensing techniques
  • Stochastic gradient optimization techniques
  • Model reduction and neural networks
  • Markov chains and Monte Carlo methods
  • Cell image analysis techniques
  • Adversarial robustness in machine learning

The publication record features contributions concentrated in computer science and biology-related fields, visible through submissions to notable venues:

  • arXiv (Cornell University) with 41 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 6 publications
  • Nature Communications with 3 publications
  • Bioinformatics with 1 publication
  • Foundations of Computational Mathematics with 1 publication

Among recent papers authored or co-authored by Gabriel Peyré are:

  • "Faster Wasserstein Distance Estimation with the Sinkhorn Divergence," 2020, arXiv (Cornell University)
  • "Optimal transport improves cell-cell similarity inference in single-cell omics data," 2022, Bioinformatics
  • "Paired single-cell multi-omics data integration with Mowgli," 2023, Nature Communications
  • "The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation," 2020, arXiv (Cornell University)
  • "Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form," 2020, arXiv (Cornell University)

Frequent collaborators in Peyré's work include:

  • Laura Cantini
  • Pierre Ablin
  • Geert-Jan Huizing
  • François-Xavier Vialard
  • Clarice Poon

Best Publications

  • A Wavelet Tour of Signal Processing : The Sparse Way

    S. G. Mallat;Gabriel Peyré

  • Computational Optimal Transport: With Applications to Data Science

    Gabriel Peyré;Marco Cuturi

  • Computational Optimal Transport

    Gabriel Peyré;Marco Cuturi

  • Iterative Bregman Projections for Regularized Transportation Problems

    Jean-David Benamou;Guillaume Carlier;Marco Cuturi;Luca Nenna

  • Convolutional wasserstein distances: efficient optimal transportation on geometric domains

    Justin Solomon;Fernando de Goes;Gabriel Peyré;Marco Cuturi

  • Wasserstein barycenter and its application to texture mixing

    Julien Rabin;Gabriel Peyré;Julie Delon;Marc Bernot

  • Non-local regularization of inverse problems

    Gabriel Peyré;Sébastien Bougleux;Laurent D. Cohen

  • Sliced and Radon Wasserstein Barycenters of Measures

    Nicolas Bonneel;Julien Rabin;Gabriel Peyré;Hanspeter Pfister

  • A Generalized Forward-Backward Splitting

    Hugo Raguet;Jalal M. Fadili;Gabriel Peyré

  • Learning Generative Models with Sinkhorn Divergences

    Aude Genevay;Gabriel Peyre;Marco Cuturi

  • Scaling algorithms for unbalanced optimal transport problems

    Lénaïc Chizat;Gabriel Peyré;Bernhard Schmitzer;François-Xavier Vialard

  • Exact Support Recovery for Sparse Spikes Deconvolution

    Vincent Duval;Gabriel Peyré

  • Surface compression with geometric bandelets

    Gabriel Peyré;Stéphane Mallat

  • Geodesic Remeshing Using Front Propagation

    Gabriel Peyré;Laurent D. Cohen

  • Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

    Jean Feydy;Thibault Séjourné;François-Xavier Vialard;François-Xavier Vialard;Shun-ichi Amari

  • Manifold models for signals and images

    Gabriel Peyré

  • Gromov-wasserstein averaging of kernel and distance matrices

    Gabriel Peyré;Marco Cuturi;Justin Solomon

  • Best Basis Compressed Sensing

    Gabriel Peyre

  • An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics

    Lénaïc Chizat;Gabriel Peyré;Bernhard Schmitzer;François-Xavier Vialard

  • Sparse Modeling of Textures

    Gabriel Peyré

  • Stochastic Optimization for Large-scale Optimal Transport

    Aude Genevay;Marco Cuturi;Gabriel Peyré;Francis R. Bach

Frequent Co-Authors

Jalal M. Fadili
Jalal M. Fadili École Nationale Supérieure d'Ingénieurs de Caen
Laurent D. Cohen
Laurent D. Cohen Paris Dauphine University
Marco Cuturi
Marco Cuturi École Nationale de la Statistique et de l'Administration Économique
Jean-François Aujol
Jean-François Aujol University of Bordeaux
Guillaume Carlier
Guillaume Carlier Paris Dauphine University
Stéphane Mallat
Stéphane Mallat École Normale Supérieure
Jean-Luc Starck
Jean-Luc Starck University of Paris-Saclay
Gui-Song Xia
Gui-Song Xia Wuhan University
Yves Frégnac
Yves Frégnac Centre national de la recherche scientifique, CNRS

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