Gabriel Peyré

Gabriel Peyré

École Normale Supérieure

H-index: 64

Europe-France

About Gabriel Peyré

Gabriel Peyré, With an exceptional h-index of 64 and a recent h-index of 48 (since 2020), a distinguished researcher at École Normale Supérieure, specializes in the field of Applied Mathematics, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

How do Transformers perform In-Context Autoregressive Learning?

scConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected features

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport

Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

Abide by the law and follow the flow: Conservation laws for gradient flows

Test like you Train in Implicit Deep Learning

Code for reproducible research. Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

Gabriel Peyré Information

University

Position

CNRS DMA

Citations(all)

19569

Citations(since 2020)

12919

Cited By

11599

hIndex(all)

64

hIndex(since 2020)

48

i10Index(all)

156

i10Index(since 2020)

117

Email

University Profile Page

École Normale Supérieure

Google Scholar

View Google Scholar Profile

Gabriel Peyré Skills & Research Interests

Applied Mathematics

Machine learning

Top articles of Gabriel Peyré

Title

Journal

Author(s)

Publication Date

How do Transformers perform In-Context Autoregressive Learning?

arXiv preprint arXiv:2402.05787

Michael E Sander

Raja Giryes

Taiji Suzuki

Mathieu Blondel

Gabriel Peyré

2024/2/8

scConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected features

bioRxiv

Jules Samaran

Gabriel Peyre

Laura Cantini

2024

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport

Othmane Sebbouh

Marco Cuturi

Gabriel Peyré

2024/4/18

Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

arXiv preprint arXiv:2403.12887

Raphaël Barboni

Gabriel Peyré

François-Xavier Vialard

2024/3/19

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

arXiv preprint arXiv:2402.16748

Zhenzhang Ye

Gabriel Peyré

Daniel Cremers

Pierre Ablin

2024/2/26

Abide by the law and follow the flow: Conservation laws for gradient flows

Advances in Neural Information Processing Systems

Sibylle Marcotte

Rémi Gribonval

Gabriel Peyré

2024/2/13

Test like you Train in Implicit Deep Learning

arXiv preprint arXiv:2305.15042

Zaccharie Ramzi

Pierre Ablin

Gabriel Peyré

Thomas Moreau

2023/5/24

Code for reproducible research. Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

Sibylle Marcotte

Rémi Gribonval

Gabriel Peyré

2023/11/8

The geometry of off-the-grid compressed sensing

Foundations of Computational Mathematics

Clarice Poon

Nicolas Keriven

Gabriel Peyré

2023/2

Sparsistency for Inverse Optimal Transport

arXiv preprint arXiv:2310.05461

Francisco Andrade

Gabriel Peyre

Clarice Poon

2023/10/9

Unbalanced optimal transport, from theory to numerics

Thibault Séjourné

Gabriel Peyré

François-Xavier Vialard

2023/1/1

Smooth over-parameterized solvers for non-smooth structured optimization

Mathematical programming

Clarice Poon

Gabriel Peyré

2023/9

Understanding the Regularity of Self-Attention with Optimal Transport

arXiv preprint arXiv:2312.14820

Valérie Castin

Pierre Ablin

Gabriel Peyré

2023/12/22

Denoising Diffusion Models

Gabriel Peyré

2023/8/1

Paired single-cell multi-omics data integration with Mowgli

Nature Communications

Geert-Jan Huizing

Ina Maria Deutschmann

Gabriel Peyré

Laura Cantini

2023/11/24

Fast, differentiable and sparse top-k: a convex analysis perspective

Michael Eli Sander

Joan Puigcerver

Josip Djolonga

Gabriel Peyré

Mathieu Blondel

2023/7/3

Super-resolved Lasso

arXiv preprint arXiv:2311.09928

Clarice Poon

Gabriel Peyré

2023/11/16

Unsupervised ground metric learning using wasserstein singular vectors

Geert-Jan Huizing

Laura Cantini

Gabriel Peyré

2022/6/28

Fast and accurate optimization on the orthogonal manifold without retraction

Pierre Ablin

Gabriel Peyré

2022/5/3

Optimal transport improves cell–cell similarity inference in single-cell omics data

Bioinformatics

Geert-Jan Huizing

Gabriel Peyré

Laura Cantini

2022/4/15

See List of Professors in Gabriel Peyré University(École Normale Supérieure)

Co-Authors

H-index: 70
Stephane Mallat

Stephane Mallat

École Normale Supérieure

H-index: 43
Justin Solomon

Justin Solomon

Massachusetts Institute of Technology

H-index: 38
Jean-Francois Aujol

Jean-Francois Aujol

Université de Bordeaux

H-index: 32
Laurent Jacques

Laurent Jacques

Université Catholique de Louvain

H-index: 20
Caroline Chaux

Caroline Chaux

Aix-Marseille Université

H-index: 17
Bernhard Schmitzer

Bernhard Schmitzer

Georg-August-Universität Göttingen

academic-engine