Gabriel Peyré

218 papers A* 29A 12B 8Journal 137Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust Sublinear Convergence Rates for Iterative Bregman Projections.
CoRR
Gabriel Peyré
2025 J jnl
A Unified Perspective on the Dynamics of Deep Transformers.
CoRR
Valérie Castin, Pierre Ablin, José Antonio Carrillo, Gabriel Peyré
2025 J jnl
From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting.
CoRR
Samuel Hurault, Matthieu Terris, Thomas Moreau, Gabriel Peyré
2025 J jnl
Intrinsic training dynamics of deep neural networks.
CoRR
Sibylle Marcotte, Gabriel Peyré, Rémi Gribonval
2025 J jnl
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses.
CoRR
Francisco Andrade, Gabriel Peyré, Clarice Poon
2025 J jnl
Optimal Transport for Machine Learners.
CoRR
Gabriel Peyré
2025 J jnl
Optimal and Diffusion Transports in Machine Learning.
CoRR
Gabriel Peyré
2025 J jnl
The Mathematics of Artificial Intelligence.
CoRR
Gabriel Peyré
2025 J jnl
Token Sample Complexity of Attention.
CoRR
Léa Bohbot, Cyril Letrouit, Gabriel Peyré, François-Xavier Vialard
2025 A* conf
Towards Understanding the Universality of Transformers for Next-Token Prediction.
ICLR
Michael Eli Sander, Gabriel Peyré
2025 A* conf
Transformative or Conservative? Conservation laws for ResNets and Transformers.
ICML
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2025 J jnl
Transformative or Conservative? Conservation laws for ResNets and Transformers.
CoRR
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2025 A* conf
Transformers are Universal In-context Learners.
ICLR
Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré
2025 J jnl
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime.
CoRR
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2024 A conf
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization.
AISTATS
Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin
2024 J jnl
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization.
CoRR
Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin
2024 A* conf
How Smooth Is Attention?
ICML
Valérie Castin, Pierre Ablin, Gabriel Peyré
2024 A* conf
How do Transformers Perform In-Context Autoregressive Learning ?
ICML
Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré
2024 J jnl
How do Transformers perform In-Context Autoregressive Learning?
CoRR
Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré
2024 A* conf
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows.
ICML
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2024 J jnl
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows.
CoRR
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2024 A* conf
Sparsistency for inverse optimal transport.
ICLR
Francisco Andrade, Gabriel Peyré, Clarice Poon
2024 A conf
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport.
AISTATS
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2024 J jnl
Towards Understanding the Universality of Transformers for Next-Token Prediction.
CoRR
Michael E. Sander, Gabriel Peyré
2024 J jnl
Transformers are Universal In-context Learners.
CoRR
Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré
2024 J jnl
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport.
CoRR
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2023 J jnl
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows.
CoRR
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2023 A* conf
Abide by the law and follow the flow: conservation laws for gradient flows.
NeurIPS
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2023 A* conf
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective.
ICML
Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel
2023 J jnl
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective.
CoRR
Michael E. Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel
2023 J jnl
Smooth over-parameterized solvers for non-smooth structured optimization.
Math. Program.
Clarice Poon, Gabriel Peyré
2023 J jnl
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport.
CoRR
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2023 J jnl
Test like you Train in Implicit Deep Learning.
CoRR
Zaccharie Ramzi, Pierre Ablin, Gabriel Peyré, Thomas Moreau
2023 J jnl
The Geometry of Off-the-Grid Compressed Sensing.
Found. Comput. Math.
Clarice Poon, Nicolas Keriven, Gabriel Peyré
2023 J jnl
Understanding the Regularity of Self-Attention with Optimal Transport.
CoRR
Valérie Castin, Pierre Ablin, Gabriel Peyré
2022 A* conf
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
NeurIPS
Michael E. Sander, Pierre Ablin, Gabriel Peyré
2022 J jnl
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
CoRR
Michael E. Sander, Pierre Ablin, Gabriel Peyré
2022 A conf
Fast and accurate optimization on the orthogonal manifold without retraction.
AISTATS
Pierre Ablin, Gabriel Peyré
2022 A conf
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe.
AISTATS
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
2022 J jnl
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe.
CoRR
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
2022 A* conf
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs.
ICML
Meyer Scetbon, Gabriel Peyré, Marco Cuturi
2022 A* conf
On global convergence of ResNets: From finite to infinite width using linear parameterization.
NeurIPS
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2022 J jnl
Optimal transport improves cell-cell similarity inference in single-cell omics data.
Bioinform.
Geert-Jan Huizing, Gabriel Peyré, Laura Cantini
2022 A conf
Randomized Stochastic Gradient Descent Ascent.
AISTATS
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2022 A conf
Sinkformers: Transformers with Doubly Stochastic Attention.
AISTATS
Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2022 J jnl
Smooth over-parameterized solvers for non-smooth structured optimization.
CoRR
Clarice Poon, Gabriel Peyré
2022 J jnl
Unbalanced Optimal Transport, from Theory to Numerics.
CoRR
Thibault Séjourné, Gabriel Peyré, François-Xavier Vialard
2022 A* conf
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors.
ICML
Geert-Jan Huizing, Laura Cantini, Gabriel Peyré
2021 J jnl
Fast and accurate optimization on the orthogonal manifold without retraction.
CoRR
Pierre Ablin, Gabriel Peyré
2021 J jnl
Global convergence of ResNets: From finite to infinite width using linear parameterization.
CoRR
Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard
2021 J jnl
Ground Metric Learning on Graphs.
J. Math. Imaging Vis.
Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
2021 J jnl
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs.
CoRR
Meyer Scetbon, Gabriel Peyré, Marco Cuturi
2021 A* conf
Low-Rank Sinkhorn Factorization.
ICML
Meyer Scetbon, Marco Cuturi, Gabriel Peyré
2021 J jnl
Low-Rank Sinkhorn Factorization.
CoRR
Meyer Scetbon, Marco Cuturi, Gabriel Peyré
2021 A* conf
Momentum Residual Neural Networks.
ICML
Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2021 J jnl
Momentum Residual Neural Networks.
CoRR
Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2021 J jnl
Randomized Stochastic Gradient Descent Ascent.
CoRR
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2021 J jnl
Sinkformers: Transformers with Doubly Stochastic Attention.
CoRR
Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2021 A* conf
Smooth Bilevel Programming for Sparse Regularization.
NeurIPS
Clarice Poon, Gabriel Peyré
2021 J jnl
Smooth Bilevel Programming for Sparse Regularization.
CoRR
Clarice Poon, Gabriel Peyré
2021 A* conf
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation.
NeurIPS
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
2021 J jnl
Unsupervised Ground Metric Learning using Wasserstein Eigenvectors.
CoRR
Geert-Jan Huizing, Laura Cantini, Gabriel Peyré
2020 J jnl
Distribution-Based Invariant Deep Networks for Learning Meta-Features.
CoRR
Gwendoline de Bie, Herilalaina Rakotoarison, Gabriel Peyré, Michèle Sebag
2020 A* conf
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form.
NeurIPS
Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi
2020 A* conf
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence.
NeurIPS
Lénaïc Chizat, Pierre Roussillon, Flavien Léger, François-Xavier Vialard, Gabriel Peyré
2020 A* conf
Online Sinkhorn: Optimal Transport distances from sample streams.
NeurIPS
Arthur Mensch, Gabriel Peyré
2020 A* conf
Super-efficiency of automatic differentiation for functions defined as a minimum.
ICML
Pierre Ablin, Gabriel Peyré, Thomas Moreau
2020 J jnl
Super-efficiency of automatic differentiation for functions defined as a minimum.
CoRR
Pierre Ablin, Gabriel Peyré, Thomas Moreau
2020 A* conf
Wasserstein Control of Mirror Langevin Monte Carlo.
COLT
Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
2020 J jnl
Wasserstein Control of Mirror Langevin Monte Carlo.
CoRR
Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
2019 J jnl
A Low-Rank Approach to Off-the-Grid Sparse Superresolution.
SIAM J. Imaging Sci.
Paul Catala, Vincent Duval, Gabriel Peyré
2019 J jnl
Computational Optimal Transport.
Found. Trends Mach. Learn.
Gabriel Peyré, Marco Cuturi
2019 J jnl
Degrees of freedom for off-the-grid sparse estimation.
CoRR
Clarice Poon, Gabriel Peyré
2019 A* conf
Geometric Losses for Distributional Learning.
ICML
Arthur Mensch, Mathieu Blondel, Gabriel Peyré
2019 J jnl
Geometric Losses for Distributional Learning.
CoRR
Arthur Mensch, Mathieu Blondel, Gabriel Peyré
2019 J jnl
Ground Metric Learning on Graphs.
CoRR
Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
2019 J jnl
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA).
J. Math. Imaging Vis.
Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2019 A conf
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.
AISTATS
Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouvé, Gabriel Peyré
2019 A conf
Model Consistency for Learning with Mirror-Stratifiable Regularizers.
AISTATS
Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré
2019 J jnl
MultiDimensional Sparse Super-Resolution.
SIAM J. Math. Anal.
Clarice Poon, Gabriel Peyré
2019 A conf
Sample Complexity of Sinkhorn Divergences.
AISTATS
Aude Genevay, Lénaïc Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyré
2019 J jnl
Sinkhorn Divergences for Unbalanced Optimal Transport.
CoRR
Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé, Gabriel Peyré
2019 A* conf
Stochastic Deep Networks.
ICML
Gwendoline de Bie, Gabriel Peyré, Marco Cuturi
2019 A conf
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization.
AISTATS
Clarice Poon, Nicolas Keriven, Gabriel Peyré
2019 A* conf
Universal Invariant and Equivariant Graph Neural Networks.
NeurIPS
Nicolas Keriven, Gabriel Peyré
2019 J jnl
Universal Invariant and Equivariant Graph Neural Networks.
CoRR
Nicolas Keriven, Gabriel Peyré
2018 J jnl
A Dual Certificates Analysis of Compressive Off-the-Grid Recovery.
CoRR
Clarice Poon, Nicolas Keriven, Gabriel Peyré
2018 J jnl
An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics.
Found. Comput. Math.
Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard
2018 J jnl
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.
Neural Comput.
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2018 A conf
Learning Generative Models with Sinkhorn Divergences.
AISTATS
Aude Genevay, Gabriel Peyré, Marco Cuturi
2018 J jnl
Model Consistency of Partly Smooth Regularizers.
IEEE Trans. Inf. Theory
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2018 J jnl
Scaling algorithms for unbalanced optimal transport problems.
Math. Comput.
Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard
2018 J jnl
Semi-dual Regularized Optimal Transport.
CoRR
Marco Cuturi, Gabriel Peyré
2018 J jnl
Semidual Regularized Optimal Transport.
SIAM Rev.
Marco Cuturi, Gabriel Peyré
2018 J jnl
Sensitivity Analysis for Mirror-Stratifiable Convex Functions.
SIAM J. Optim.
Jalal Fadili, Jérôme Malick, Gabriel Peyré
2018 J jnl
Stochastic Deep Networks.
CoRR
Gwendoline de Bie, Gabriel Peyré, Marco Cuturi
2018 J jnl
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization.
CoRR
Clarice Poon, Nicolas Keriven, Gabriel Peyré
2018 J jnl
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.
SIAM J. Imaging Sci.
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2017 J jnl
A Low-Rank Approach to Off-The-Grid Sparse Deconvolution.
CoRR
Paul Catala, Vincent Duval, Gabriel Peyré
2017 J jnl
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.
SIAM J. Optim.
Jingwei Liang, Jalal Fadili, Gabriel Peyré
2017 J jnl
Convergence of Entropic Schemes for Optimal Transport and Gradient Flows.
SIAM J. Math. Anal.
Guillaume Carlier, Vincent Duval, Gabriel Peyré, Bernhard Schmitzer
2017 J jnl
JMIV Special Issue Mathematics and Image Analysis.
J. Math. Imaging Vis.
Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2017 J jnl
Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.
J. Optim. Theory Appl.
Jingwei Liang, Jalal Fadili, Gabriel Peyré
2017 — conf
Optimal Transport for Diffeomorphic Registration.
MICCAI (1)
Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré
2017 J jnl
Sensitivity Analysis for Mirror-Stratifiable Convex Functions.
CoRR
Jalal Fadili, Jérôme Malick, Gabriel Peyré
2017 J jnl
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.
CoRR
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2016 — conf
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.
NIPS
Jingwei Liang, Jalal Fadili, Gabriel Peyré
2016 J jnl
A Smoothed Dual Approach for Variational Wasserstein Problems.
SIAM J. Imaging Sci.
Marco Cuturi, Gabriel Peyré
2016 J jnl
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures.
CoRR
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2016 J jnl
Convergence rates with inexact non-expansive operators.
Math. Program.
Jingwei Liang, Jalal Fadili, Gabriel Peyré
2016 J jnl
Entropic metric alignment for correspondence problems.
ACM Trans. Graph.
Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra
2016 A conf
Fast Dictionary Learning with a Smoothed Wasserstein Loss.
AISTATS
Antoine Rolet, Marco Cuturi, Gabriel Peyré
2016 J jnl
Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics.
SIAM J. Imaging Sci.
Giacomo Nardi, Gabriel Peyré, François-Xavier Vialard
2016 A* conf
Gromov-Wasserstein Averaging of Kernel and Distance Matrices.
ICML
Gabriel Peyré, Marco Cuturi, Justin Solomon
2016 J jnl
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
2016 J jnl
Quantum Optimal Transport for Tensor Field Processing.
CoRR
Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon
2016 — conf
Sparse Support Recovery with Non-smooth Loss Functions.
NIPS
Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques
2016 J jnl
Sparse Support Recovery with Non-smooth Loss Functions.
CoRR
Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques
2016 — conf
Stochastic Optimization for Large-scale Optimal Transport.
NIPS
Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach
2016 J jnl
Stochastic Optimization for Large-scale Optimal Transport.
CoRR
Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach
2016 J jnl
Wasserstein Loss for Image Synthesis and Restoration.
SIAM J. Imaging Sci.
Guillaume Tartavel, Gabriel Peyré, Yann Gousseau
2016 J jnl
Wasserstein barycentric coordinates: histogram regression using optimal transport.
ACM Trans. Graph.
Nicolas Bonneel, Gabriel Peyré, Marco Cuturi
2015 — conf
Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
SSVM
Jingwei Liang, Jalal Fadili, Gabriel Peyré, D. Russell Luke
2015 — conf
Biologically Inspired Dynamic Textures for Probing Motion Perception.
NIPS
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2015 J jnl
Biologically Inspired Dynamic Textures for Probing Motion Perception.
CoRR
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2015 J jnl
Convolutional wasserstein distances: efficient optimal transportation on geometric domains.
ACM Trans. Graph.
Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas
2015 J jnl
Entropic Approximation of Wasserstein Gradient Flows.
SIAM J. Imaging Sci.
Gabriel Peyré
2015 J jnl
Exact Support Recovery for Sparse Spikes Deconvolution.
Found. Comput. Math.
Vincent Duval, Gabriel Peyré
2015 — conf
Fast Optimal Transport Averaging of Neuroimaging Data.
IPMI
Alexandre Gramfort, Gabriel Peyré, Marco Cuturi
2015 J jnl
Fast Optimal Transport Averaging of Neuroimaging Data.
CoRR
Alexandre Gramfort, Gabriel Peyré, Marco Cuturi
2015 J jnl
Guest Editorial: Mathematics and Image Analysis.
J. Math. Imaging Vis.
Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2015 J jnl
Iterative Bregman Projections for Regularized Transportation Problems.
SIAM J. Sci. Comput.
Jean-David Benamou, Guillaume Carlier, Marco Cuturi, Luca Nenna, Gabriel Peyré
2015 J jnl
Sliced and Radon Wasserstein Barycenters of Measures.
J. Math. Imaging Vis.
Nicolas Bonneel, Julien Rabin, Gabriel Peyré, Hanspeter Pfister
2015 J jnl
Sparse Spikes Deconvolution on Thin Grids.
CoRR
Vincent Duval, Gabriel Peyré
2015 J jnl
Support Recovery for Sparse Deconvolution of Positive Measures.
CoRR
Quentin Denoyelle, Vincent Duval, Gabriel Peyré
2015 — conf
The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution.
CAMSAP
Vincent Duval, Gabriel Peyré
2015 J jnl
Variational Texture Synthesis with Sparsity and Spectrum Constraints.
J. Math. Imaging Vis.
Guillaume Tartavel, Yann Gousseau, Gabriel Peyré
2014 J jnl
Guest Editorial - JMIV Special Issue Mathematics and Image Analysis.
J. Math. Imaging Vis.
Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen
2014 — conf
Local Linear Convergence of Forward-Backward under Partial Smoothness.
NIPS
Jingwei Liang, Jalal Fadili, Gabriel Peyré
2014 J jnl
Low Complexity Regularization of Linear Inverse Problems.
CoRR
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2014 B conf
On the convergence rates of proximal splitting algorithms.
ICIP
Jingwei Liang, Mohamed-Jalal Fadili, Gabriel Peyré
2014 J jnl
Optimal Transport with Proximal Splitting.
SIAM J. Imaging Sci.
Nicolas Papadakis, Gabriel Peyré, Édouard Oudet
2014 J jnl
Partly Smooth Regularization of Inverse Problems.
CoRR
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2014 J jnl
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014 J jnl
Regularized Discrete Optimal Transport.
SIAM J. Imaging Sci.
Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
2014 J jnl
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection.
SIAM J. Imaging Sci.
Charles-Alban Deledalle, Samuel Vaiter, Jalal Fadili, Gabriel Peyré
2014 J jnl
Synthesizing and Mixing Stationary Gaussian Texture Models.
SIAM J. Imaging Sci.
Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol
2014 J jnl
The Degrees of Freedom of Partly Smooth Regularizers.
CoRR
Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal
2013 J jnl
A Generalized Forward-Backward Splitting.
SIAM J. Imaging Sci.
Hugo Raguet, Jalal Fadili, Gabriel Peyré
2013 — conf
Constrained Sparse Texture Synthesis.
SSVM
Guillaume Tartavel, Yann Gousseau, Gabriel Peyré
2013 J jnl
Exact Support Recovery for Sparse Spikes Deconvolution.
CoRR
Vincent Duval, Gabriel Peyré
2013 J jnl
Model Selection with Piecewise Regular Gauges.
CoRR
Samuel Vaiter, Mohammad Golbabaee, Jalal Fadili, Gabriel Peyré
2013 J jnl
On growth and formlets: Sparse multi-scale coding of planar shape.
Image Vis. Comput.
James H. Elder, Timothy D. Oleskiw, Alex Yakubovich, Gabriel Peyré
2013 — conf
Regularized Discrete Optimal Transport.
SSVM
Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol
2013 J jnl
Regularized Discrete Optimal Transport.
CoRR
Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
2013 J jnl
Robust Polyhedral Regularization
CoRR
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2013 J jnl
Robust Sparse Analysis Regularization.
IEEE Trans. Inf. Theory
Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili
2013 J jnl
Stable Recovery with Analysis Decomposable Priors
CoRR
Mohamed-Jalal Fadili, Gabriel Peyré, Samuel Vaiter, Charles-Alban Deledalle, Joseph Salmon
2013 — conf
Static and Dynamic Texture Mixing Using Optimal Transport.
SSVM
Sira Ferradans, Gui-Song Xia, Gabriel Peyré, Jean-François Aujol
2012 B conf
Compact representations of stationary dynamic textures.
ICIP
Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol
2012 J jnl
Nonlocal Active Contours.
SIAM J. Imaging Sci.
Miyoun Jung, Gabriel Peyré, Laurent D. Cohen
2012 J jnl
Risk estimation for matrix recovery with spectral regularization
CoRR
Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal
2012 — conf
Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging.
ISBI
Yining Hu, Miyoun Jung, Ahmed Oukili, Guanyu Yang, Jean-Claude Nunes, Jérôme Fehrenbach, Gabriel Peyré, Marc Bedossa, Limin Luo, Christine Toumoulin, Laurent D. Cohen
2012 J jnl
The degrees of freedom of the Group Lasso for a General Design
CoRR
Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal
2012 B conf
Unbiased risk estimation for sparse analysis regularization.
ICIP
Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal
2012 B conf
Wasserstein active contours.
ICIP
Gabriel Peyré, Jalal Fadili, Julien Rabin
2011 J jnl
A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity
CoRR
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré
2011 J jnl
A Review of Adaptive Image Representations.
IEEE J. Sel. Top. Signal Process.
Gabriel Peyré
2011 J jnl
A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity.
Signal Process.
Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré
2011 — conf
Adaptive structured block sparsity via dyadic partitioning.
EUSIPCO
Gabriel Peyré, Jalal Fadili, Christophe Chesneau
2011 J jnl
Compressive Wave Computation.
Found. Comput. Math.
Laurent Demanet, Gabriel Peyré
2011 — conf
Group sparsity with overlapping partition functions.
EUSIPCO
Gabriel Peyré, Jalal Fadili
2011 J jnl
JMIV Special Issue - Mathematics and Image Analysis.
J. Math. Imaging Vis.
Gabriel Peyré, Laurent D. Cohen, Joachim Weickert
2011 J jnl
Locally Parallel Texture Modeling.
SIAM J. Imaging Sci.
Pierre Maurel, Jean-François Aujol, Gabriel Peyré
2011 J jnl
Matching 2D and 3D articulated shapes using the eccentricity transform.
Comput. Vis. Image Underst.
Adrian Ion, Nicole M. Artner, Gabriel Peyré, Walter G. Kropatsch, Laurent D. Cohen
2011 — conf
Non-local Active Contours.
SSVM
Miyoun Jung, Gabriel Peyré, Laurent D. Cohen
2011 B conf
Non-local segmentation and inpaiting.
ICIP
Miyoun Jung, Gabriel Peyré, Laurent D. Cohen
2011 J jnl
Robust Sparse Analysis Regularization
CoRR
Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili
2011 J jnl
Sharp Support Recovery from Noisy Random Measurements by L1 minimization
CoRR
Charles Dossal, Marie-Line Chabanol, Gabriel Peyré, Jalal Fadili
2011 — conf
Texture Segmentation via Non-local Non-parametric Active Contours.
EMMCVPR
Miyoun Jung, Gabriel Peyré, Laurent D. Cohen
2011 J jnl
The Numerical Tours of Signal Processing Part 2: Multiscale Processings.
Comput. Sci. Eng.
Gabriel Peyré
2011 J jnl
The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration.
Comput. Sci. Eng.
Gabriel Peyré
2011 J jnl
The Numerical Tours of Signal Processing.
Comput. Sci. Eng.
Gabriel Peyré
2011 J jnl
The degrees of freedom of penalized l1 minimization
CoRR
Charles Dossal, Maher Kachour, Jalal Fadili, Gabriel Peyré, Christophe Chesneau
2011 J jnl
Total Variation Projection With First Order Schemes.
IEEE Trans. Image Process.
Jalal Fadili, Gabriel Peyré
2011 — conf
Wasserstein Barycenter and Its Application to Texture Mixing.
SSVM
Julien Rabin, Gabriel Peyré, Julie Delon, Marc Bernot
2011 B conf
Wasserstein regularization of imaging problem.
ICIP
Julien Rabin, Gabriel Peyré
2010 J jnl
Best basis compressed sensing.
IEEE Trans. Signal Process.
Gabriel Peyré
2010 J jnl
Derivatives with respect to metrics and applications: subgradient marching algorithm.
Numerische Mathematik
Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio
2010 J jnl
Geodesic Methods in Computer Vision and Graphics.
Found. Trends Comput. Graph. Vis.
Gabriel Peyré, Mickaël Péchaud, Renaud Keriven, Laurent D. Cohen
2010 — conf
Geodesic Shape Retrieval via Optimal Mass Transport.
ECCV (5)
Julien Rabin, Gabriel Peyré, Laurent D. Cohen
2010 J jnl
Learning the Morphological Diversity.
SIAM J. Imaging Sci.
Gabriel Peyré, Jalal Fadili, Jean-Luc Starck
2010 A* conf
On growth and formlets: Sparse multi-scale coding of planar shape.
CVPR
Timothy D. Oleskiw, James H. Elder, Gabriel Peyré
2010 — conf
Separation of traveling waves in cortical networks using optical imaging.
ISBI
Nicolas Schmidt, Gabriel Peyré, Yves Frégnac, Per Roland
2010 J jnl
Texture Synthesis with Grouplets.
IEEE Trans. Pattern Anal. Mach. Intell.
Gabriel Peyré
2009 B conf
Best basis denoising with non-stationary wavelet packets.
ICIP
Nizar Ouarti, Gabriel Peyré
2009 A* conf
Extraction of tubular structures over an orientation domain.
CVPR
Mickaël Péchaud, Renaud Keriven, Gabriel Peyré
2009 A* conf
Image compression with anisotropic triangulations.
ICCV
Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen
2009 — conf
Locally Parallel Textures Modeling with Adapted Hilbert Spaces.
EMMCVPR
Pierre Maurel, Jean-François Aujol, Gabriel Peyré
2009 J jnl
Manifold models for signals and images.
Comput. Vis. Image Underst.
Gabriel Peyré
2009 J jnl
Numerical approximation of continuous traffic congestion equilibria.
Networks Heterog. Media
Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio
2009 J jnl
Sparse Modeling of Textures.
J. Math. Imaging Vis.
Gabriel Peyré
2009 B conf
Total variation projection with first order schemes.
ICIP
Mohamed-Jalal Fadili, Gabriel Peyré
2008 — conf
3D shape matching by geodesic eccentricity.
CVPR Workshops
Adrian Ion, Nicole M. Artner, Gabriel Peyré, Salvador B. López Mármol, Walter G. Kropatsch, Laurent D. Cohen
2008 — conf
Anisotropic Geodesics for Perceptual Grouping and Domain Meshing.
ECCV (2)
Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen
2008 J jnl
Image Processing with Nonlocal Spectral Bases.
Multiscale Model. Simul.
Gabriel Peyré
2008 — conf
Non-local Regularization of Inverse Problems.
ECCV (3)
Gabriel Peyré, Sébastien Bougleux, Laurent D. Cohen
2007 J jnl
A review of Bandlet methods for geometrical image representation.
Numer. Algorithms
Stéphane Mallat, Gabriel Peyré
2007 — conf
Best Basis Compressed Sensing.
SSVM
Gabriel Peyré
2007 — conf
Non-negative Sparse Modeling of Textures.
SSVM
Gabriel Peyré
2007 — conf
Texture Synthesis and Modification with a Patch-Valued Wavelet Transform.
SSVM
Gabriel Peyré
2006 J jnl
Geodesic Remeshing Using Front Propagation.
Int. J. Comput. Vis.
Gabriel Peyré, Laurent D. Cohen
2006 — conf
Landmark-Based Geodesic Computation for Heuristically Driven Path Planning.
CVPR (2)
Gabriel Peyré, Laurent D. Cohen
2005 — conf
Discrete bandelets with geometric orthogonal filters.
ICIP (1)
Gabriel Peyré, Stéphane Mallat
2005 — conf
Geodesic Computation for Adaptive Remeshing.
CVPR (2)
Gabriel Peyré, Laurent D. Cohen
2005 — conf
Heuristically Driven Front Propagation for Geodesic Paths Extraction.
VLSM
Gabriel Peyré, Laurent D. Cohen
2005 J jnl
Surface compression with geometric bandelets.
ACM Trans. Graph.
Gabriel Peyré, Stéphane Mallat
2004 — conf
Surface Segmentation Using Geodesic Centroidal Tesselation.
3DPVT
Gabriel Peyré, Laurent D. Cohen