Surface Segmentation Using Geodesic Centroidal Tesselation. - Gabriel Peyré; Laurent D. Cohen (3DPVT, 2004)

Geodesic Computation for Adaptive Remeshing. - Gabriel Peyré; Laurent D. Cohen (CVPR (2), 2005)

Discrete bandelets with geometric orthogonal filters. - Gabriel Peyré; Stéphane Mallat (ICIP (1), 2005)

Heuristically Driven Front Propagation for Geodesic Paths Extraction. - Gabriel Peyré; Laurent D. Cohen (VLSM, 2005)

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

Landmark-Based Geodesic Computation for Heuristically Driven Path Planning. - Gabriel Peyré; Laurent D. Cohen (CVPR (2), 2006)

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

Non-negative Sparse Modeling of Textures. - Gabriel Peyré (SSVM, 2007)

Texture Synthesis and Modification with a Patch-Valued Wavelet Transform. - Gabriel Peyré (SSVM, 2007)

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

3D shape matching by geodesic eccentricity. - Adrian Ion; Nicole M. Artner; Gabriel Peyré; Salvador B. López Mármol; Walter G. Kropatsch; Laurent D. Cohen (CVPR Workshops, 2008)

Anisotropic Geodesics for Perceptual Grouping and Domain Meshing. - Sébastien Bougleux; Gabriel Peyré; Laurent D. Cohen (ECCV (2), 2008)

Non-local Regularization of Inverse Problems. - Gabriel Peyré; Sébastien Bougleux; Laurent D. Cohen (ECCV (3), 2008)

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

Extraction of tubular structures over an orientation domain. - Mickaël Péchaud; Renaud Keriven; Gabriel Peyré (CVPR, 2009)

Locally Parallel Textures Modeling with Adapted Hilbert Spaces. - Pierre Maurel; Jean-François Aujol; Gabriel Peyré (EMMCVPR, 2009)

Image compression with anisotropic triangulations. - Sébastien Bougleux; Gabriel Peyré; Laurent D. Cohen (ICCV, 2009)

Best basis denoising with non-stationary wavelet packets. - Nizar Ouarti; Gabriel Peyré (ICIP, 2009)

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)

On growth and formlets: Sparse multi-scale coding of planar shape. - Timothy D. Oleskiw; James H. Elder; Gabriel Peyré (CVPR, 2010)

Geodesic Shape Retrieval via Optimal Mass Transport. - Julien Rabin; Gabriel Peyré; Laurent D. Cohen (ECCV (5), 2010)

Separation of traveling waves in cortical networks using optical imaging. - Nicolas Schmidt; Gabriel Peyré; Yves Frégnac; Per Roland (ISBI, 2010)

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)

Texture Segmentation via Non-local Non-parametric Active Contours. - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (EMMCVPR, 2011)

Group sparsity with overlapping partition functions. - Gabriel Peyré; Jalal Fadili (EUSIPCO, 2011)

Adaptive structured block sparsity via dyadic partitioning. - Gabriel Peyré; Jalal Fadili; Christophe Chesneau (EUSIPCO, 2011)

Non-local segmentation and inpaiting. - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (ICIP, 2011)

Wasserstein regularization of imaging problem. - Julien Rabin; Gabriel Peyré (ICIP, 2011)

Non-local Active Contours. - Miyoun Jung; Gabriel Peyré; Laurent D. Cohen (SSVM, 2011)

Wasserstein Barycenter and Its Application to Texture Mixing. - Julien Rabin; Gabriel Peyré; Julie Delon; Marc Bernot (SSVM, 2011)

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

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

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)

Unbiased risk estimation for sparse analysis regularization. - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (ICIP, 2012)

Wasserstein active contours. - Gabriel Peyré; Jalal Fadili; Julien Rabin (ICIP, 2012)

Compact representations of stationary dynamic textures. - Gui-Song Xia; Sira Ferradans; Gabriel Peyré; Jean-François Aujol (ICIP, 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 001; Jean-Claude Nunes; Jérôme Fehrenbach; Gabriel Peyré; Marc Bedossa; Limin Luo 001; Christine Toumoulin; Laurent D. Cohen (ISBI, 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)

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

Regularized Discrete Optimal Transport. - Sira Ferradans; Nicolas Papadakis; Julien Rabin; Gabriel Peyré; Jean-François Aujol (SSVM, 2013)

Static and Dynamic Texture Mixing Using Optimal Transport. - Sira Ferradans; Gui-Song Xia; Gabriel Peyré; Jean-François Aujol (SSVM, 2013)

Constrained Sparse Texture Synthesis. - Guillaume Tartavel; Yann Gousseau; Gabriel Peyré (SSVM, 2013)

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

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)

On the convergence rates of proximal splitting algorithms. - Jingwei Liang; Mohamed-Jalal Fadili; Gabriel Peyré (ICIP, 2014)

Local Linear Convergence of Forward-Backward under Partial Smoothness. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (NIPS, 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)

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)

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

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

The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution. - Vincent Duval; Gabriel Peyré (CAMSAP, 2015)

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

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

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness. - Jingwei Liang; Jalal Fadili; Gabriel Peyré; D. Russell Luke (SSVM, 2015)

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

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

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)

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

Variational Texture Synthesis with Sparsity and Spectrum Constraints. - Guillaume Tartavel; Yann Gousseau; Gabriel Peyré (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 001; Fernando de Goes; Gabriel Peyré; Marco Cuturi; Adrian Butscher; Andy Nguyen; Tao Du; Leonidas J. Guibas (ACM Trans. Graph., 2015)

Fast Dictionary Learning with a Smoothed Wasserstein Loss. - Antoine Rolet; Marco Cuturi; Gabriel Peyré (AISTATS, 2016)

Gromov-Wasserstein Averaging of Kernel and Distance Matrices. - Gabriel Peyré; Marco Cuturi; Justin Solomon 001 (ICML, 2016)

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

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

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (NIPS, 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)

Quantum Optimal Transport for Tensor Field Processing. - Gabriel Peyré; Lenaïc Chizat; François-Xavier Vialard; Justin Solomon 001 (CoRR, 2016)

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

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

Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics. - Giacomo Nardi; Gabriel Peyré; François-Xavier Vialard (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 001; Gabriel Peyré; Vladimir G. Kim; Suvrit Sra (ACM Trans. Graph., 2016)

Optimal Transport for Diffeomorphic Registration. - Jean Feydy; Benjamin Charlier; François-Xavier Vialard; Gabriel Peyré (MICCAI (1), 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)

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)

Learning Generative Models with Sinkhorn Divergences. - Aude Genevay; Gabriel Peyré; Marco Cuturi (AISTATS, 2018)

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

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

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)

Model Consistency for Learning with Mirror-Stratifiable Regularizers. - Jalal Fadili; Guillaume Garrigos; Jérôme Malick; Gabriel Peyré (AISTATS, 2019)

Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. - Jean Feydy; Thibault Séjourné; François-Xavier Vialard; Shun-ichi Amari; Alain Trouvé; Gabriel Peyré (AISTATS, 2019)

Sample Complexity of Sinkhorn Divergences. - Aude Genevay; Lénaïc Chizat; Francis R. Bach; Marco Cuturi; Gabriel Peyré (AISTATS, 2019)

Support Localization and the Fisher Metric for off-the-grid Sparse Regularization. - Clarice Poon; Nicolas Keriven; Gabriel Peyré (AISTATS, 2019)

Stochastic Deep Networks. - Gwendoline de Bie; Gabriel Peyré; Marco Cuturi (ICML, 2019)

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

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

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

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

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)

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

Super-efficiency of automatic differentiation for functions defined as a minimum. - Pierre Ablin; Gabriel Peyré; Thomas Moreau 001 (ICML, 2020)

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence. - Lénaïc Chizat; Pierre Roussillon; Flavien Léger; François-Xavier Vialard; Gabriel Peyré (NeurIPS, 2020)

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form. - Hicham Janati; Boris Muzellec; Gabriel Peyré; Marco Cuturi (NeurIPS, 2020)

Online Sinkhorn: Optimal Transport distances from sample streams. - Arthur Mensch; Gabriel Peyré (NeurIPS, 2020)

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

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

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

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

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation. - Thibault Séjourné; François-Xavier Vialard; Gabriel Peyré (NeurIPS, 2021)

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

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

Fast and accurate optimization on the orthogonal manifold without retraction. - Pierre Ablin; Gabriel Peyré (AISTATS, 2022)

Sinkformers: Transformers with Doubly Stochastic Attention. - Michael E. Sander; Pierre Ablin; Mathieu Blondel; Gabriel Peyré (AISTATS, 2022)

Randomized Stochastic Gradient Descent Ascent. - Othmane Sebbouh; Marco Cuturi; Gabriel Peyré (AISTATS, 2022)

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

Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors. - Geert-Jan Huizing; Laura Cantini; Gabriel Peyré (ICML, 2022)

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. - Meyer Scetbon; Gabriel Peyré; Marco Cuturi (ICML, 2022)

On global convergence of ResNets: From finite to infinite width using linear parameterization. - Raphaël Barboni; Gabriel Peyré; François-Xavier Vialard (NeurIPS, 2022)

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

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

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

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

Abide by the law and follow the flow: conservation laws for gradient flows. - Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré (NeurIPS, 2023)

Test like you Train in Implicit Deep Learning. - Zaccharie Ramzi; Pierre Ablin; Gabriel Peyré; Thomas Moreau 001 (CoRR, 2023)

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

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

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

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport. - Othmane Sebbouh; Marco Cuturi; Gabriel Peyré (AISTATS, 2024)

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

Sparsistency for inverse optimal transport. - Francisco Andrade 005; Gabriel Peyré; Clarice Poon (ICLR, 2024)

How Smooth Is Attention? - Valérie Castin; Pierre Ablin; Gabriel Peyré (ICML, 2024)

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

How do Transformers Perform In-Context Autoregressive Learning ? - Michael Eli Sander; Raja Giryes; Taiji Suzuki; Mathieu Blondel; Gabriel Peyré (ICML, 2024)

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

Transformers are Universal In-context Learners. - Takashi Furuya; Maarten V. de Hoop; Gabriel Peyré (ICLR, 2025)

Towards Understanding the Universality of Transformers for Next-Token Prediction. - Michael Eli Sander; Gabriel Peyré (ICLR, 2025)

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 001; Gabriel Peyré (CoRR, 2025)

From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting. - Samuel Hurault; Matthieu Terris; Thomas Moreau 001; Gabriel Peyré (CoRR, 2025)

Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime. - Raphaël Barboni; Gabriel Peyré; François-Xavier Vialard (CoRR, 2025)

Optimal Transport for Machine Learners. - Gabriel Peyré (CoRR, 2025)

Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses. - Francisco Andrade 005; Gabriel Peyré; Clarice Poon (CoRR, 2025)

Transformative or Conservative? Conservation laws for ResNets and Transformers. - Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré (CoRR, 2025)

Intrinsic training dynamics of deep neural networks. - Sibylle Marcotte; Gabriel Peyré; Rémi Gribonval (CoRR, 2025)