The Mathematics of Artificial Intelligence - Gabriel Peyré (CoRR, 2025)

A Unified Perspective on the Dynamics of Deep Transformers - Valérie Castin; Pierre Ablin; José Antonio Carrillo; Gabriel Peyré (CoRR, 2025)

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport - Othmane Sebbouh; Marco Cuturi; Gabriel Peyré (International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, 2024)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization - Zhenzhang Ye; Gabriel Peyré; Daniel Cremers; Pierre Ablin (International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, 2024)

Sparsistency for inverse optimal transport - Francisco Andrade; Gabriel Peyré; Clarice Poon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

How Smooth Is Attention? - Valérie Castin; Pierre Ablin; Gabriel Peyré (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows - Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

How do Transformers Perform In-Context Autoregressive Learning ? - Michael Eli Sander; Raja Giryes; Taiji Suzuki; Mathieu Blondel; Gabriel Peyré (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

How do Transformers perform In-Context Autoregressive Learning? - Michael E. Sander; Raja Giryes; Taiji Suzuki; Mathieu Blondel; Gabriel Peyré (CoRR, 2024)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization - Zhenzhang Ye; Gabriel Peyré; Daniel Cremers; Pierre Ablin (CoRR, 2024)

Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport - Raphaël Barboni; Gabriel Peyré; François-Xavier Vialard (CoRR, 2024)

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows - Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré (CoRR, 2024)

Transformers are Universal In-context Learners - Takashi Furuya; Maarten V. de Hoop; Gabriel Peyré (CoRR, 2024)

Towards Understanding the Universality of Transformers for Next-Token Prediction - Michael E. Sander; Gabriel Peyré (CoRR, 2024)

The Geometry of Off-the-Grid Compressed Sensing - Clarice Poon; Nicolas Keriven; Gabriel Peyré (Found. Comput. Math., 2023)

Smooth over-parameterized solvers for non-smooth structured optimization - Clarice Poon; Gabriel Peyré (Math. Program., 2023)

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective - Michael Eli Sander; Joan Puigcerver; Josip Djolonga; Gabriel Peyré; Mathieu Blondel (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Abide by the law and follow the flow: conservation laws for gradient flows - Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective - Michael E. Sander; Joan Puigcerver; Josip Djolonga; Gabriel Peyré; Mathieu Blondel (CoRR, 2023)

Test like you Train in Implicit Deep Learning - Zaccharie Ramzi; Pierre Ablin; Gabriel Peyré; Thomas Moreau (CoRR, 2023)

Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows - Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré (CoRR, 2023)

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport - Othmane Sebbouh; Marco Cuturi; Gabriel Peyré (CoRR, 2023)

Understanding the Regularity of Self-Attention with Optimal Transport - Valérie Castin; Pierre Ablin; Gabriel Peyré (CoRR, 2023)

Optimal transport improves cell-cell similarity inference in single-cell omics data - Geert-Jan Huizing; Gabriel Peyré; Laura Cantini (Bioinform., 2022)

Randomized Stochastic Gradient Descent Ascent - Othmane Sebbouh; Marco Cuturi; Gabriel Peyré (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 2022)

Sinkformers: Transformers with Doubly Stochastic Attention - Michael E. Sander; Pierre Ablin; Mathieu Blondel; Gabriel Peyré (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 2022)

Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe - Thibault Séjourné; François-Xavier Vialard; Gabriel Peyré (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 2022)

Fast and accurate optimization on the orthogonal manifold without retraction - Pierre Ablin; Gabriel Peyré (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 2022)

Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors - Geert-Jan Huizing; Laura Cantini; Gabriel Peyré (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs - Meyer Scetbon; Gabriel Peyré; Marco Cuturi (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

On global convergence of ResNets: From finite to infinite width using linear parameterization - Raphaël Barboni; Gabriel Peyré; François-Xavier Vialard (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Do Residual Neural Networks discretize Neural Ordinary Differential Equations? - Michael E. Sander; Pierre Ablin; Gabriel Peyré (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe - Thibault Séjourné; François-Xavier Vialard; Gabriel Peyré (CoRR, 2022)

Smooth over-parameterized solvers for non-smooth structured optimization - Clarice Poon; Gabriel Peyré (CoRR, 2022)

Do Residual Neural Networks discretize Neural Ordinary Differential Equations? - Michael E. Sander; Pierre Ablin; Gabriel Peyré (CoRR, 2022)

Unbalanced Optimal Transport, from Theory to Numerics - Thibault Séjourné; Gabriel Peyré; François-Xavier Vialard (CoRR, 2022)

Ground Metric Learning on Graphs - Matthieu Heitz; Nicolas Bonneel; David Coeurjolly; Marco Cuturi; Gabriel Peyré (J. Math. Imaging Vis., 2021)

Momentum Residual Neural Networks - Michael E. Sander; Pierre Ablin; Mathieu Blondel; Gabriel Peyré (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Low-Rank Sinkhorn Factorization - Meyer Scetbon; Marco Cuturi; Gabriel Peyré (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Smooth Bilevel Programming for Sparse Regularization - Clarice Poon; Gabriel Peyré (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation - Thibault Séjourné; François-Xavier Vialard; Gabriel Peyré (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors - Geert-Jan Huizing; Laura Cantini; Gabriel Peyré (CoRR, 2021)

Fast and accurate optimization on the orthogonal manifold without retraction - Pierre Ablin; Gabriel Peyré (CoRR, 2021)

Momentum Residual Neural Networks - Michael E. Sander; Pierre Ablin; Mathieu Blondel; Gabriel Peyré (CoRR, 2021)

Low-Rank Sinkhorn Factorization - Meyer Scetbon; Marco Cuturi; Gabriel Peyré (CoRR, 2021)

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs - Meyer Scetbon; Gabriel Peyré; Marco Cuturi (CoRR, 2021)

Smooth Bilevel Programming for Sparse Regularization - Clarice Poon; Gabriel Peyré (CoRR, 2021)

Sinkformers: Transformers with Doubly Stochastic Attention - Michael E. Sander; Pierre Ablin; Mathieu Blondel; Gabriel Peyré (CoRR, 2021)

Randomized Stochastic Gradient Descent Ascent - Othmane Sebbouh; Marco Cuturi; Gabriel Peyré (CoRR, 2021)

Global convergence of ResNets: From finite to infinite width using linear parameterization - Raphaël Barboni; Gabriel Peyré; François-Xavier Vialard (CoRR, 2021)

Wasserstein Control of Mirror Langevin Monte Carlo - Kelvin Shuangjian Zhang; Gabriel Peyré; Jalal Fadili; Marcelo Pereyra (Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria], 2020)

Super-efficiency of automatic differentiation for functions defined as a minimum - Pierre Ablin; Gabriel Peyré; Thomas Moreau (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence - Lénaïc Chizat; Pierre Roussillon; Flavien Léger; François-Xavier Vialard; Gabriel Peyré (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form - Hicham Janati; Boris Muzellec; Gabriel Peyré; Marco Cuturi (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Online Sinkhorn: Optimal Transport distances from sample streams - Arthur Mensch; Gabriel Peyré (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Super-efficiency of automatic differentiation for functions defined as a minimum - Pierre Ablin; Gabriel Peyré; Thomas Moreau (CoRR, 2020)

Wasserstein Control of Mirror Langevin Monte Carlo - Kelvin Shuangjian Zhang; Gabriel Peyré; Jalal Fadili; Marcelo Pereyra (CoRR, 2020)

Distribution-Based Invariant Deep Networks for Learning Meta-Features - Gwendoline de Bie; Herilalaina Rakotoarison; Gabriel Peyré; Michèle Sebag (CoRR, 2020)

Computational Optimal Transport - Gabriel Peyré; Marco Cuturi (Found. Trends Mach. Learn., 2019)

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA) - Jean-François Aujol; Jalal Fadili; Michael Hintermüller; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2019)

A Low-Rank Approach to Off-the-Grid Sparse Superresolution - Paul Catala; Vincent Duval; Gabriel Peyré (SIAM J. Imaging Sci., 2019)

MultiDimensional Sparse Super-Resolution - Clarice Poon; Gabriel Peyré (SIAM J. Math. Anal., 2019)

Model Consistency for Learning with Mirror-Stratifiable Regularizers - Jalal Fadili; Guillaume Garrigos; Jérôme Malick; Gabriel Peyré (The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, 2019)

Support Localization and the Fisher Metric for off-the-grid Sparse Regularization - Clarice Poon; Nicolas Keriven; Gabriel Peyré (The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, 2019)

Sample Complexity of Sinkhorn Divergences - Aude Genevay; Lénaïc Chizat; Francis R. Bach; Marco Cuturi; Gabriel Peyré (The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, 2019)

Interpolating between Optimal Transport and MMD using Sinkhorn Divergences - Jean Feydy; Thibault Séjourné; François-Xavier Vialard; Shun-ichi Amari; Alain Trouvé; Gabriel Peyré (The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, 2019)

Stochastic Deep Networks - Gwendoline de Bie; Gabriel Peyré; Marco Cuturi (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

Geometric Losses for Distributional Learning - Arthur Mensch; Mathieu Blondel; Gabriel Peyré (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

Universal Invariant and Equivariant Graph Neural Networks - Nicolas Keriven; Gabriel Peyré (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Universal Invariant and Equivariant Graph Neural Networks - Nicolas Keriven; Gabriel Peyré (CoRR, 2019)

Geometric Losses for Distributional Learning - Arthur Mensch; Mathieu Blondel; Gabriel Peyré (CoRR, 2019)

Sinkhorn Divergences for Unbalanced Optimal Transport - Thibault Séjourné; Jean Feydy; François-Xavier Vialard; Alain Trouvé; Gabriel Peyré (CoRR, 2019)

Ground Metric Learning on Graphs - Matthieu Heitz; Nicolas Bonneel; David Coeurjolly; Marco Cuturi; Gabriel Peyré (CoRR, 2019)

Degrees of freedom for off-the-grid sparse estimation - Clarice Poon; Gabriel Peyré (CoRR, 2019)

An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics - Lenaïc Chizat; Gabriel Peyré; Bernhard Schmitzer; François-Xavier Vialard (Found. Comput. Math., 2018)

Scaling algorithms for unbalanced optimal transport problems - Lenaïc Chizat; Gabriel Peyré; Bernhard Schmitzer; François-Xavier Vialard (Math. Comput., 2018)

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures - Jonathan Vacher; Andrew Isaac Meso; Laurent U. Perrinet; Gabriel Peyré (Neural Comput., 2018)

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning - Morgan A. Schmitz; Matthieu Heitz; Nicolas Bonneel; Fred Maurice Ngolè Mboula; David Coeurjolly; Marco Cuturi; Gabriel Peyré; Jean-Luc Starck (SIAM J. Imaging Sci., 2018)

Sensitivity Analysis for Mirror-Stratifiable Convex Functions - Jalal Fadili; Jérôme Malick; Gabriel Peyré (SIAM J. Optim., 2018)

Semidual Regularized Optimal Transport - Marco Cuturi; Gabriel Peyré (SIAM Rev., 2018)

Model Consistency of Partly Smooth Regularizers - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (IEEE Trans. Inf. Theory, 2018)

Learning Generative Models with Sinkhorn Divergences - Aude Genevay; Gabriel Peyré; Marco Cuturi (International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 2018)

A Dual Certificates Analysis of Compressive Off-the-Grid Recovery - Clarice Poon; Nicolas Keriven; Gabriel Peyré (CoRR, 2018)

Support Localization and the Fisher Metric for off-the-grid Sparse Regularization - Clarice Poon; Nicolas Keriven; Gabriel Peyré (CoRR, 2018)

Semi-dual Regularized Optimal Transport - Marco Cuturi; Gabriel Peyré (CoRR, 2018)

Stochastic Deep Networks - Gwendoline de Bie; Gabriel Peyré; Marco Cuturi (CoRR, 2018)

JMIV Special Issue Mathematics and Image Analysis - Jalal Fadili; Gitta Kutyniok; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2017)

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers - Jingwei Liang; Jalal Fadili; Gabriel Peyré (J. Optim. Theory Appl., 2017)

Activity Identification and Local Linear Convergence of Forward-Backward-type Methods - Jingwei Liang; Jalal Fadili; Gabriel Peyré (SIAM J. Optim., 2017)

Convergence of Entropic Schemes for Optimal Transport and Gradient Flows - Guillaume Carlier; Vincent Duval; Gabriel Peyré; Bernhard Schmitzer (SIAM J. Math. Anal., 2017)

Optimal Transport for Diffeomorphic Registration - Jean Feydy; Benjamin Charlier; François-Xavier Vialard; Gabriel Peyré (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Sensitivity Analysis for Mirror-Stratifiable Convex Functions - Jalal Fadili; Jérôme Malick; Gabriel Peyré (CoRR, 2017)

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning - Morgan A. Schmitz; Matthieu Heitz; Nicolas Bonneel; Fred Maurice Ngolè Mboula; David Coeurjolly; Marco Cuturi; Gabriel Peyré; Jean-Luc Starck (CoRR, 2017)

A Low-Rank Approach to Off-The-Grid Sparse Deconvolution - Paul Catala; Vincent Duval; Gabriel Peyré (CoRR, 2017)

Convergence rates with inexact non-expansive operators - Jingwei Liang; Jalal Fadili; Gabriel Peyré (Math. Program., 2016)

Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics - Giacomo Nardi; Gabriel Peyré; François-Xavier Vialard (SIAM J. Imaging Sci., 2016)

A Smoothed Dual Approach for Variational Wasserstein Problems - Marco Cuturi; Gabriel Peyré (SIAM J. Imaging Sci., 2016)

Wasserstein Loss for Image Synthesis and Restoration - Guillaume Tartavel; Gabriel Peyré; Yann Gousseau (SIAM J. Imaging Sci., 2016)

Wasserstein barycentric coordinates: histogram regression using optimal transport - Nicolas Bonneel; Gabriel Peyré; Marco Cuturi (ACM Trans. Graph., 2016)

Entropic metric alignment for correspondence problems - Justin Solomon; Gabriel Peyré; Vladimir G. Kim; Suvrit Sra (ACM Trans. Graph., 2016)

Fast Dictionary Learning with a Smoothed Wasserstein Loss - Antoine Rolet; Marco Cuturi; Gabriel Peyré (Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016, 2016)

Gromov-Wasserstein Averaging of Kernel and Distance Matrices - Gabriel Peyré; Marco Cuturi; Justin Solomon (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Stochastic Optimization for Large-scale Optimal Transport - Aude Genevay; Marco Cuturi; Gabriel Peyré; Francis R. Bach (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization - Jingwei Liang; Jalal Fadili; Gabriel Peyré (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

Sparse Support Recovery with Non-smooth Loss Functions - Kévin Degraux; Gabriel Peyré; Jalal Fadili; Laurent Jacques (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

Stochastic Optimization for Large-scale Optimal Transport - Aude Genevay; Marco Cuturi; Gabriel Peyré; Francis R. Bach (CoRR, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16) - 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; et al. (CoRR, 2016)

Sparse Support Recovery with Non-smooth Loss Functions - Kévin Degraux; Gabriel Peyré; Jalal Fadili; Laurent Jacques (CoRR, 2016)

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures - Jonathan Vacher; Andrew Isaac Meso; Laurent U. Perrinet; Gabriel Peyré (CoRR, 2016)

Quantum Optimal Transport for Tensor Field Processing - Gabriel Peyré; Lenaïc Chizat; François-Xavier Vialard; Justin Solomon (CoRR, 2016)

Exact Support Recovery for Sparse Spikes Deconvolution - Vincent Duval; Gabriel Peyré (Found. Comput. Math., 2015)

Sliced and Radon Wasserstein Barycenters of Measures - Nicolas Bonneel; Julien Rabin; Gabriel Peyré; Hanspeter Pfister (J. Math. Imaging Vis., 2015)

Variational Texture Synthesis with Sparsity and Spectrum Constraints - Guillaume Tartavel; Yann Gousseau; Gabriel Peyré (J. Math. Imaging Vis., 2015)

Guest Editorial: Mathematics and Image Analysis - Jalal Fadili; Gitta Kutyniok; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2015)

Entropic Approximation of Wasserstein Gradient Flows - Gabriel Peyré (SIAM J. Imaging Sci., 2015)

Iterative Bregman Projections for Regularized Transportation Problems - Jean-David Benamou; Guillaume Carlier; Marco Cuturi; Luca Nenna; Gabriel Peyré (SIAM J. Sci. Comput., 2015)

Convolutional wasserstein distances: efficient optimal transportation on geometric domains - Justin Solomon; Fernando de Goes; Gabriel Peyré; Marco Cuturi; Adrian Butscher; Andy Nguyen; Tao Du; Leonidas J. Guibas (ACM Trans. Graph., 2015)

The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution - Vincent Duval; Gabriel Peyré (6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015, 2015)

Fast Optimal Transport Averaging of Neuroimaging Data - Alexandre Gramfort; Gabriel Peyré; Marco Cuturi (Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings, 2015)

Biologically Inspired Dynamic Textures for Probing Motion Perception - Jonathan Vacher; Andrew Isaac Meso; Laurent U. Perrinet; Gabriel Peyré (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness - Jingwei Liang; Jalal Fadili; Gabriel Peyré; D. Russell Luke (Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings, 2015)

Sparse Spikes Deconvolution on Thin Grids - Vincent Duval; Gabriel Peyré (CoRR, 2015)

Fast Optimal Transport Averaging of Neuroimaging Data - Alexandre Gramfort; Gabriel Peyré; Marco Cuturi (CoRR, 2015)

Support Recovery for Sparse Deconvolution of Positive Measures - Quentin Denoyelle; Vincent Duval; Gabriel Peyré (CoRR, 2015)

Biologically Inspired Dynamic Textures for Probing Motion Perception - Jonathan Vacher; Andrew Isaac Meso; Laurent U. Perrinet; Gabriel Peyré (CoRR, 2015)

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis - Gabriel Peyré; Jalal Fadili; Jean-François Aujol; Laurent D. Cohen (J. Math. Imaging Vis., 2014)

Optimal Transport with Proximal Splitting - Nicolas Papadakis; Gabriel Peyré; Édouard Oudet (SIAM J. Imaging Sci., 2014)

Synthesizing and Mixing Stationary Gaussian Texture Models - Gui-Song Xia; Sira Ferradans; Gabriel Peyré; Jean-François Aujol (SIAM J. Imaging Sci., 2014)

Regularized Discrete Optimal Transport - Sira Ferradans; Nicolas Papadakis; Gabriel Peyré; Jean-François Aujol (SIAM J. Imaging Sci., 2014)

Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection - Charles-Alban Deledalle; Samuel Vaiter; Jalal Fadili; Gabriel Peyré (SIAM J. Imaging Sci., 2014)

On the convergence rates of proximal splitting algorithms - Jingwei Liang; Mohamed-Jalal Fadili; Gabriel Peyré (2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014, 2014)

Local Linear Convergence of Forward-Backward under Partial Smoothness - Jingwei Liang; Jalal Fadili; Gabriel Peyré (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

The Degrees of Freedom of Partly Smooth Regularizers - Samuel Vaiter; Charles-Alban Deledalle; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2014)

Partly Smooth Regularization of Inverse Problems - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (CoRR, 2014)

Low Complexity Regularization of Linear Inverse Problems - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (CoRR, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) - 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; et al. (CoRR, 2014)

On growth and formlets: Sparse multi-scale coding of planar shape - James H. Elder; Timothy D. Oleskiw; Alex Yakubovich; Gabriel Peyré (Image Vis. Comput., 2013)

A Generalized Forward-Backward Splitting - Hugo Raguet; Jalal Fadili; Gabriel Peyré (SIAM J. Imaging Sci., 2013)

Robust Sparse Analysis Regularization - Samuel Vaiter; Gabriel Peyré; Charles Dossal; Jalal Fadili (IEEE Trans. Inf. Theory, 2013)

Static and Dynamic Texture Mixing Using Optimal Transport - Sira Ferradans; Gui-Song Xia; Gabriel Peyré; Jean-François Aujol (Scale Space and Variational Methods in Computer Vision - 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings, 2013)

Constrained Sparse Texture Synthesis - Guillaume Tartavel; Yann Gousseau; Gabriel Peyré (Scale Space and Variational Methods in Computer Vision - 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings, 2013)

Regularized Discrete Optimal Transport - Sira Ferradans; Nicolas Papadakis; Julien Rabin; Gabriel Peyré; Jean-François Aujol (Scale Space and Variational Methods in Computer Vision - 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings, 2013)

Stable Recovery with Analysis Decomposable Priors - Mohamed-Jalal Fadili; Gabriel Peyré; Samuel Vaiter; Charles-Alban Deledalle; Joseph Salmon (CoRR, 2013)

Robust Polyhedral Regularization - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (CoRR, 2013)

Exact Support Recovery for Sparse Spikes Deconvolution - Vincent Duval; Gabriel Peyré (CoRR, 2013)

Model Selection with Piecewise Regular Gauges - Samuel Vaiter; Mohammad Golbabaee; Jalal Fadili; Gabriel Peyré (CoRR, 2013)

Regularized Discrete Optimal Transport - Sira Ferradans; Nicolas Papadakis; Gabriel Peyré; Jean-François Aujol (CoRR, 2013)

Nonlocal Active Contours - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (SIAM J. Imaging Sci., 2012)

Wasserstein active contours - Gabriel Peyré; Jalal Fadili; Julien Rabin (19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012, 2012)

Compact representations of stationary dynamic textures - Gui-Song Xia; Sira Ferradans; Gabriel Peyré; Jean-François Aujol (19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012, 2012)

Unbiased risk estimation for sparse analysis regularization - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012, 2012)

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging - Yining Hu; Miyoun Jung; Ahmed Oukili; Guanyu Yang; Jean-Claude Nunes; Jérôme Fehrenbach; Gabriel Peyré; Marc Bedossa; Limin Luo; Christine Toumoulin; Laurent D. Cohen (9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, May 2-5, 2012, Barcelona, Spain, Proceedings, 2012)

Risk estimation for matrix recovery with spectral regularization - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2012)

The degrees of freedom of the Group Lasso for a General Design - Samuel Vaiter; Charles-Alban Deledalle; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2012)

The Numerical Tours of Signal Processing - Gabriel Peyré (Comput. Sci. Eng., 2011)

The Numerical Tours of Signal Processing Part 2: Multiscale Processings - Gabriel Peyré (Comput. Sci. Eng., 2011)

The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration - Gabriel Peyré (Comput. Sci. Eng., 2011)

Matching 2D and 3D articulated shapes using the eccentricity transform - Adrian Ion; Nicole M. Artner; Gabriel Peyré; Walter G. Kropatsch; Laurent D. Cohen (Comput. Vis. Image Underst., 2011)

Compressive Wave Computation - Laurent Demanet; Gabriel Peyré (Found. Comput. Math., 2011)

JMIV Special Issue - Mathematics and Image Analysis - Gabriel Peyré; Laurent D. Cohen; Joachim Weickert (J. Math. Imaging Vis., 2011)

A Review of Adaptive Image Representations - Gabriel Peyré (IEEE J. Sel. Top. Signal Process., 2011)

Locally Parallel Texture Modeling - Pierre Maurel; Jean-François Aujol; Gabriel Peyré (SIAM J. Imaging Sci., 2011)

A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity - Laurent Jacques; Laurent Duval; Caroline Chaux; Gabriel Peyré (Signal Process., 2011)

Total Variation Projection With First Order Schemes - Jalal Fadili; Gabriel Peyré (IEEE Trans. Image Process., 2011)

Texture Segmentation via Non-local Non-parametric Active Contours - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings, 2011)

Group sparsity with overlapping partition functions - Gabriel Peyré; Jalal Fadili (Proceedings of the 19th European Signal Processing Conference, EUSIPCO 2011, Barcelona, Spain, August 29 - Sept. 2, 2011, 2011)

Adaptive structured block sparsity via dyadic partitioning - Gabriel Peyré; Jalal Fadili; Christophe Chesneau (Proceedings of the 19th European Signal Processing Conference, EUSIPCO 2011, Barcelona, Spain, August 29 - Sept. 2, 2011, 2011)

Wasserstein regularization of imaging problem - Julien Rabin; Gabriel Peyré (18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011, 2011)

Non-local segmentation and inpaiting - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011, 2011)

Non-local Active Contours - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers, 2011)

Wasserstein Barycenter and Its Application to Texture Mixing - Julien Rabin; Gabriel Peyré; Julie Delon; Marc Bernot (Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers, 2011)

Sharp Support Recovery from Noisy Random Measurements by L1 minimization - Charles Dossal; Marie-Line Chabanol; Gabriel Peyré; Jalal Fadili (CoRR, 2011)

A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity - Laurent Jacques; Laurent Duval; Caroline Chaux; Gabriel Peyré (CoRR, 2011)

Robust Sparse Analysis Regularization - Samuel Vaiter; Gabriel Peyré; Charles Dossal; Jalal Fadili (CoRR, 2011)

The degrees of freedom of penalized l1 minimization - Charles Dossal; Maher Kachour; Jalal Fadili; Gabriel Peyré; Christophe Chesneau (CoRR, 2011)

Geodesic Methods in Computer Vision and Graphics - Gabriel Peyré; Mickaël Péchaud; Renaud Keriven; Laurent D. Cohen (Found. Trends Comput. Graph. Vis., 2010)

Derivatives with respect to metrics and applications: subgradient marching algorithm - Fethallah Benmansour; Guillaume Carlier; Gabriel Peyré; Filippo Santambrogio (Numerische Mathematik, 2010)

Texture Synthesis with Grouplets - Gabriel Peyré (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Learning the Morphological Diversity - Gabriel Peyré; Jalal Fadili; Jean-Luc Starck (SIAM J. Imaging Sci., 2010)

Best basis compressed sensing - Gabriel Peyré (IEEE Trans. Signal Process., 2010)

On growth and formlets: Sparse multi-scale coding of planar shape - Timothy D. Oleskiw; James H. Elder; Gabriel Peyré (The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010, 2010)

Geodesic Shape Retrieval via Optimal Mass Transport - Julien Rabin; Gabriel Peyré; Laurent D. Cohen (Computer Vision - ECCV 2010 - 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V, 2010)

Separation of traveling waves in cortical networks using optical imaging - Nicolas Schmidt; Gabriel Peyré; Yves Frégnac; Per Roland (Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 April, 2010, 2010)

Manifold models for signals and images - Gabriel Peyré (Comput. Vis. Image Underst., 2009)

Sparse Modeling of Textures - Gabriel Peyré (J. Math. Imaging Vis., 2009)

Numerical approximation of continuous traffic congestion equilibria - Fethallah Benmansour; Guillaume Carlier; Gabriel Peyré; Filippo Santambrogio (Networks Heterog. Media, 2009)

Extraction of tubular structures over an orientation domain - Mickaël Péchaud; Renaud Keriven; Gabriel Peyré (2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, Florida, USA, 2009)

Locally Parallel Textures Modeling with Adapted Hilbert Spaces - Pierre Maurel; Jean-François Aujol; Gabriel Peyré (Energy Minimization Methods in Computer Vision and Pattern Recognition, 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings, 2009)

Image compression with anisotropic triangulations - Sébastien Bougleux; Gabriel Peyré; Laurent D. Cohen (IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27 - October 4, 2009, 2009)

Total variation projection with first order schemes - Mohamed-Jalal Fadili; Gabriel Peyré (Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt, 2009)

Best basis denoising with non-stationary wavelet packets - Nizar Ouarti; Gabriel Peyré (Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt, 2009)

Image Processing with Nonlocal Spectral Bases - Gabriel Peyré (Multiscale Model. Simul., 2008)

3D shape matching by geodesic eccentricity - Adrian Ion; Nicole M. Artner; Gabriel Peyré; Salvador B. López Mármol; Walter G. Kropatsch; Laurent D. Cohen (IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2008, Anchorage, AK, USA, 23-28 June, 2008, 2008)

Non-local Regularization of Inverse Problems - Gabriel Peyré; Sébastien Bougleux; Laurent D. Cohen (Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part III, 2008)

Anisotropic Geodesics for Perceptual Grouping and Domain Meshing - Sébastien Bougleux; Gabriel Peyré; Laurent D. Cohen (Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part II, 2008)

A review of Bandlet methods for geometrical image representation - Stéphane Mallat; Gabriel Peyré (Numer. Algorithms, 2007)

Best Basis Compressed Sensing - Gabriel Peyré (Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings, 2007)

Non-negative Sparse Modeling of Textures - Gabriel Peyré (Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings, 2007)

Texture Synthesis and Modification with a Patch-Valued Wavelet Transform - Gabriel Peyré (Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings, 2007)

Geodesic Remeshing Using Front Propagation - Gabriel Peyré; Laurent D. Cohen (Int. J. Comput. Vis., 2006)

Landmark-Based Geodesic Computation for Heuristically Driven Path Planning - Gabriel Peyré; Laurent D. Cohen (2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-22 June 2006, New York, NY, USA, 2006)

Surface compression with geometric bandelets - Gabriel Peyré; Stéphane Mallat (ACM Trans. Graph., 2005)

Geodesic Computation for Adaptive Remeshing - Gabriel Peyré; Laurent D. Cohen (2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 20-26 June 2005, San Diego, CA, USA, 2005)

Discrete bandelets with geometric orthogonal filters - Gabriel Peyré; Stéphane Mallat (Proceedings of the 2005 International Conference on Image Processing, ICIP 2005, Genoa, Italy, September 11-14, 2005, 2005)

Heuristically Driven Front Propagation for Geodesic Paths Extraction - Gabriel Peyré; Laurent D. Cohen (Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings, 2005)

Surface Segmentation Using Geodesic Centroidal Tesselation - Gabriel Peyré; Laurent D. Cohen (2nd International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT 2004), 6-9 September 2004, Thessaloniki, Greece, 2004)