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2020 – today
- 2025
[c80]Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré:
Transformers are Universal In-context Learners. ICLR 2025- [c79]Michael Eli Sander, Gabriel Peyré:
Towards Understanding the Universality of Transformers for Next-Token Prediction. ICLR 2025 - [i70]Gabriel Peyré:
The Mathematics of Artificial Intelligence. CoRR abs/2501.10465 (2025) - [i69]Valérie Castin, Pierre Ablin, José Antonio Carrillo, Gabriel Peyré:
A Unified Perspective on the Dynamics of Deep Transformers. CoRR abs/2501.18322 (2025) - [i68]Samuel Hurault, Matthieu Terris, Thomas Moreau, Gabriel Peyré:
From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting. CoRR abs/2503.11615 (2025) - [i67]Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard:
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime. CoRR abs/2504.18208 (2025) - [i66]Gabriel Peyré:
Optimal Transport for Machine Learners. CoRR abs/2505.06589 (2025) - [i65]Francisco Andrade, Gabriel Peyré, Clarice Poon:
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses. CoRR abs/2505.07124 (2025) - [i64]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Transformative or Conservative? Conservation laws for ResNets and Transformers. CoRR abs/2506.06194 (2025) - 2024
- [c78]Othmane Sebbouh, Marco Cuturi, Gabriel Peyré:
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport. AISTATS 2024: 586-594 - [c77]Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin:
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. AISTATS 2024: 955-963 - [c76]Francisco Andrade, Gabriel Peyré, Clarice Poon:
Sparsistency for inverse optimal transport. ICLR 2024 - [c75]Valérie Castin, Pierre Ablin, Gabriel Peyré:
How Smooth Is Attention? ICML 2024 - [c74]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows. ICML 2024 - [c73]Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré:
How do Transformers Perform In-Context Autoregressive Learning ? ICML 2024 - [i63]Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré:
How do Transformers perform In-Context Autoregressive Learning? CoRR abs/2402.05787 (2024) - [i62]Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin:
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. CoRR abs/2402.16748 (2024) - [i61]Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard:
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport. CoRR abs/2403.12887 (2024) - [i60]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows. CoRR abs/2405.12888 (2024) - [i59]Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré:
Transformers are Universal In-context Learners. CoRR abs/2408.01367 (2024) - [i58]Michael E. Sander, Gabriel Peyré:
Towards Understanding the Universality of Transformers for Next-Token Prediction. CoRR abs/2410.03011 (2024) - 2023
- [j63]Clarice Poon, Nicolas Keriven, Gabriel Peyré:
The Geometry of Off-the-Grid Compressed Sensing. Found. Comput. Math. 23(1): 241-327 (2023) - [j62]Clarice Poon, Gabriel Peyré:
Smooth over-parameterized solvers for non-smooth structured optimization. Math. Program. 201(1): 897-952 (2023) - [c72]Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel:
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. ICML 2023: 29919-29936 - [c71]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the law and follow the flow: conservation laws for gradient flows. NeurIPS 2023 - [i57]Michael E. Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel:
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. CoRR abs/2302.01425 (2023) - [i56]Zaccharie Ramzi, Pierre Ablin, Gabriel Peyré, Thomas Moreau:
Test like you Train in Implicit Deep Learning. CoRR abs/2305.15042 (2023) - [i55]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. CoRR abs/2307.00144 (2023) - [i54]Othmane Sebbouh, Marco Cuturi, Gabriel Peyré:
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport. CoRR abs/2311.05788 (2023) - [i53]Valérie Castin, Pierre Ablin, Gabriel Peyré:
Understanding the Regularity of Self-Attention with Optimal Transport. CoRR abs/2312.14820 (2023) - 2022
- [j61]Geert-Jan Huizing
, Gabriel Peyré, Laura Cantini:
Optimal transport improves cell-cell similarity inference in single-cell omics data. Bioinform. 38(8): 2169-2177 (2022) - [c70]Othmane Sebbouh, Marco Cuturi, Gabriel Peyré:
Randomized Stochastic Gradient Descent Ascent. AISTATS 2022: 2941-2969 - [c69]Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré:
Sinkformers: Transformers with Doubly Stochastic Attention. AISTATS 2022: 3515-3530 - [c68]Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré:
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe. AISTATS 2022: 4995-5021 - [c67]Pierre Ablin, Gabriel Peyré:
Fast and accurate optimization on the orthogonal manifold without retraction. AISTATS 2022: 5636-5657 - [c66]Geert-Jan Huizing, Laura Cantini, Gabriel Peyré:
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors. ICML 2022: 9429-9443 - [c65]Meyer Scetbon, Gabriel Peyré, Marco Cuturi:
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. ICML 2022: 19347-19365 - [c64]Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard:
On global convergence of ResNets: From finite to infinite width using linear parameterization. NeurIPS 2022 - [c63]Michael E. Sander, Pierre Ablin, Gabriel Peyré:
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 - [i52]Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré:
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe. CoRR abs/2201.00730 (2022) - [i51]Clarice Poon, Gabriel Peyré:
Smooth over-parameterized solvers for non-smooth structured optimization. CoRR abs/2205.01385 (2022) - [i50]Michael E. Sander, Pierre Ablin, Gabriel Peyré:
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? CoRR abs/2205.14612 (2022) - [i49]Thibault Séjourné, Gabriel Peyré, François-Xavier Vialard:
Unbalanced Optimal Transport, from Theory to Numerics. CoRR abs/2211.08775 (2022) - 2021
- [j60]Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré:
Ground Metric Learning on Graphs. J. Math. Imaging Vis. 63(1): 89-107 (2021) - [c62]Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré:
Momentum Residual Neural Networks. ICML 2021: 9276-9287 - [c61]Meyer Scetbon, Marco Cuturi, Gabriel Peyré:
Low-Rank Sinkhorn Factorization. ICML 2021: 9344-9354 - [c60]Clarice Poon, Gabriel Peyré:
Smooth Bilevel Programming for Sparse Regularization. NeurIPS 2021: 1543-1555 - [c59]Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré:
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation. NeurIPS 2021: 8766-8779 - [i48]Geert-Jan Huizing, Laura Cantini, Gabriel Peyré:
Unsupervised Ground Metric Learning using Wasserstein Eigenvectors. CoRR abs/2102.06278 (2021) - [i47]Pierre Ablin, Gabriel Peyré:
Fast and accurate optimization on the orthogonal manifold without retraction. CoRR abs/2102.07432 (2021) - [i46]Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré:
Momentum Residual Neural Networks. CoRR abs/2102.07870 (2021) - [i45]Meyer Scetbon, Marco Cuturi, Gabriel Peyré:
Low-Rank Sinkhorn Factorization. CoRR abs/2103.04737 (2021) - [i44]Meyer Scetbon, Gabriel Peyré, Marco Cuturi:
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. CoRR abs/2106.01128 (2021) - [i43]Clarice Poon, Gabriel Peyré:
Smooth Bilevel Programming for Sparse Regularization. CoRR abs/2106.01429 (2021) - [i42]Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré:
Sinkformers: Transformers with Doubly Stochastic Attention. CoRR abs/2110.11773 (2021) - [i41]Othmane Sebbouh, Marco Cuturi, Gabriel Peyré:
Randomized Stochastic Gradient Descent Ascent. CoRR abs/2111.13162 (2021) - [i40]Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard:
Global convergence of ResNets: From finite to infinite width using linear parameterization. CoRR abs/2112.05531 (2021) - 2020
- [c58]Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra:
Wasserstein Control of Mirror Langevin Monte Carlo. COLT 2020: 3814-3841 - [c57]Pierre Ablin, Gabriel Peyré, Thomas Moreau:
Super-efficiency of automatic differentiation for functions defined as a minimum. ICML 2020: 32-41 - [c56]Lénaïc Chizat, Pierre Roussillon, Flavien Léger, François-Xavier Vialard, Gabriel Peyré:
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence. NeurIPS 2020 - [c55]Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi:
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form. NeurIPS 2020 - [c54]Arthur Mensch, Gabriel Peyré:
Online Sinkhorn: Optimal Transport distances from sample streams. NeurIPS 2020 - [i39]Pierre Ablin, Gabriel Peyré, Thomas Moreau:
Super-efficiency of automatic differentiation for functions defined as a minimum. CoRR abs/2002.03722 (2020) - [i38]Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra:
Wasserstein Control of Mirror Langevin Monte Carlo. CoRR abs/2002.04363 (2020) - [i37]Gwendoline de Bie, Herilalaina Rakotoarison, Gabriel Peyré, Michèle Sebag:
Distribution-Based Invariant Deep Networks for Learning Meta-Features. CoRR abs/2006.13708 (2020)
2010 – 2019
- 2019
- [j59]Gabriel Peyré, Marco Cuturi:
Computational Optimal Transport. Found. Trends Mach. Learn. 11(5-6): 355-607 (2019) - [j58]Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. 61(5): 643-644 (2019) - [j57]Paul Catala, Vincent Duval, Gabriel Peyré:
A Low-Rank Approach to Off-the-Grid Sparse Superresolution. SIAM J. Imaging Sci. 12(3): 1464-1500 (2019) - [j56]Clarice Poon, Gabriel Peyré:
MultiDimensional Sparse Super-Resolution. SIAM J. Math. Anal. 51(1): 1-44 (2019) - [c53]Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré:
Model Consistency for Learning with Mirror-Stratifiable Regularizers. AISTATS 2019: 1236-1244 - [c52]Clarice Poon, Nicolas Keriven, Gabriel Peyré:
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization. AISTATS 2019: 1341-1350 - [c51]Aude Genevay, Lénaïc Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyré:
Sample Complexity of Sinkhorn Divergences. AISTATS 2019: 1574-1583 - [c50]Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouvé, Gabriel Peyré:
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. AISTATS 2019: 2681-2690 - [c49]Gwendoline de Bie, Gabriel Peyré, Marco Cuturi:
Stochastic Deep Networks. ICML 2019: 1556-1565 - [c48]Arthur Mensch, Mathieu Blondel, Gabriel Peyré:
Geometric Losses for Distributional Learning. ICML 2019: 4516-4525 - [c47]Nicolas Keriven, Gabriel Peyré:
Universal Invariant and Equivariant Graph Neural Networks. NeurIPS 2019: 7090-7099 - [i36]Nicolas Keriven, Gabriel Peyré:
Universal Invariant and Equivariant Graph Neural Networks. CoRR abs/1905.04943 (2019) - [i35]Arthur Mensch, Mathieu Blondel, Gabriel Peyré:
Geometric Losses for Distributional Learning. CoRR abs/1905.06005 (2019) - [i34]Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé, Gabriel Peyré:
Sinkhorn Divergences for Unbalanced Optimal Transport. CoRR abs/1910.12958 (2019) - [i33]Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré:
Ground Metric Learning on Graphs. CoRR abs/1911.03117 (2019) - [i32]Clarice Poon, Gabriel Peyré:
Degrees of freedom for off-the-grid sparse estimation. CoRR abs/1911.03577 (2019) - 2018
- [j55]Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard:
An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics. Found. Comput. Math. 18(1): 1-44 (2018) - [j54]Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard:
Scaling algorithms for unbalanced optimal transport problems. Math. Comput. 87(314): 2563-2609 (2018) - [j53]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Comput. 30(12) (2018) - [j52]Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck:
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. SIAM J. Imaging Sci. 11(1): 643-678 (2018) - [j51]Jalal Fadili, Jérôme Malick, Gabriel Peyré:
Sensitivity Analysis for Mirror-Stratifiable Convex Functions. SIAM J. Optim. 28(4): 2975-3000 (2018) - [j50]Marco Cuturi, Gabriel Peyré:
Semidual Regularized Optimal Transport. SIAM Rev. 60(4): 941-965 (2018) - [j49]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Model Consistency of Partly Smooth Regularizers. IEEE Trans. Inf. Theory 64(3): 1725-1737 (2018) - [c46]Aude Genevay, Gabriel Peyré, Marco Cuturi:
Learning Generative Models with Sinkhorn Divergences. AISTATS 2018: 1608-1617 - [i31]Clarice Poon, Nicolas Keriven, Gabriel Peyré:
A Dual Certificates Analysis of Compressive Off-the-Grid Recovery. CoRR abs/1802.08464 (2018) - [i30]Clarice Poon, Nicolas Keriven, Gabriel Peyré:
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization. CoRR abs/1810.03340 (2018) - [i29]Marco Cuturi, Gabriel Peyré:
Semi-dual Regularized Optimal Transport. CoRR abs/1811.05527 (2018) - [i28]Gwendoline de Bie, Gabriel Peyré, Marco Cuturi:
Stochastic Deep Networks. CoRR abs/1811.07429 (2018) - 2017
- [j48]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 59(3): 371-372 (2017) - [j47]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers. J. Optim. Theory Appl. 172(3): 874-913 (2017) - [j46]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods. SIAM J. Optim. 27(1): 408-437 (2017) - [j45]Guillaume Carlier, Vincent Duval, Gabriel Peyré, Bernhard Schmitzer:
Convergence of Entropic Schemes for Optimal Transport and Gradient Flows. SIAM J. Math. Anal. 49(2): 1385-1418 (2017) - [c45]Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré:
Optimal Transport for Diffeomorphic Registration. MICCAI (1) 2017: 291-299 - [i27]Jalal Fadili, Jérôme Malick, Gabriel Peyré:
Sensitivity Analysis for Mirror-Stratifiable Convex Functions. CoRR abs/1707.03194 (2017) - [i26]Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck:
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. CoRR abs/1708.01955 (2017) - [i25]Paul Catala, Vincent Duval, Gabriel Peyré:
A Low-Rank Approach to Off-The-Grid Sparse Deconvolution. CoRR abs/1712.08800 (2017) - 2016
- [j44]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Convergence rates with inexact non-expansive operators. Math. Program. 159(1-2): 403-434 (2016) - [j43]Giacomo Nardi, Gabriel Peyré, François-Xavier Vialard:
Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics. SIAM J. Imaging Sci. 9(1): 238-274 (2016) - [j42]Marco Cuturi, Gabriel Peyré:
A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM J. Imaging Sci. 9(1): 320-343 (2016) - [j41]Guillaume Tartavel, Gabriel Peyré, Yann Gousseau:
Wasserstein Loss for Image Synthesis and Restoration. SIAM J. Imaging Sci. 9(4): 1726-1755 (2016) - [j40]Nicolas Bonneel, Gabriel Peyré, Marco Cuturi:
Wasserstein barycentric coordinates: histogram regression using optimal transport. ACM Trans. Graph. 35(4): 71:1-71:10 (2016) - [j39]Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra:
Entropic metric alignment for correspondence problems. ACM Trans. Graph. 35(4): 72:1-72:13 (2016) - [c44]Antoine Rolet, Marco Cuturi, Gabriel Peyré:
Fast Dictionary Learning with a Smoothed Wasserstein Loss. AISTATS 2016: 630-638 - [c43]Gabriel Peyré, Marco Cuturi, Justin Solomon:
Gromov-Wasserstein Averaging of Kernel and Distance Matrices. ICML 2016: 2664-2672 - [c42]Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach:
Stochastic Optimization for Large-scale Optimal Transport. NIPS 2016: 3432-3440 - [c41]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization. NIPS 2016: 4035-4043 - [c40]Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques:
Sparse Support Recovery with Non-smooth Loss Functions. NIPS 2016: 4269-4277 - [i24]Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach:
Stochastic Optimization for Large-scale Optimal Transport. CoRR abs/1605.08527 (2016) - [i23]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:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - [i22]Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques:
Sparse Support Recovery with Non-smooth Loss Functions. CoRR abs/1611.01030 (2016) - [i21]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. CoRR abs/1611.01390 (2016) - [i20]Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon:
Quantum Optimal Transport for Tensor Field Processing. CoRR abs/1612.08731 (2016) - 2015
- [j38]Vincent Duval, Gabriel Peyré:
Exact Support Recovery for Sparse Spikes Deconvolution. Found. Comput. Math. 15(5): 1315-1355 (2015) - [j37]Nicolas Bonneel, Julien Rabin, Gabriel Peyré, Hanspeter Pfister:
Sliced and Radon Wasserstein Barycenters of Measures. J. Math. Imaging Vis. 51(1): 22-45 (2015) - [j36]Guillaume Tartavel, Yann Gousseau, Gabriel Peyré:
Variational Texture Synthesis with Sparsity and Spectrum Constraints. J. Math. Imaging Vis. 52(1): 124-144 (2015) - [j35]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. 52(3): 315-316 (2015) - [j34]Gabriel Peyré:
Entropic Approximation of Wasserstein Gradient Flows. SIAM J. Imaging Sci. 8(4): 2323-2351 (2015) - [j33]Jean-David Benamou, Guillaume Carlier, Marco Cuturi, Luca Nenna, Gabriel Peyré:
Iterative Bregman Projections for Regularized Transportation Problems. SIAM J. Sci. Comput. 37(2) (2015) - [j32]Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas:
Convolutional wasserstein distances: efficient optimal transportation on geometric domains. ACM Trans. Graph. 34(4): 66:1-66:11 (2015) - [c39]Vincent Duval, Gabriel Peyré:
The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution. CAMSAP 2015: 49-52 - [c38]Alexandre Gramfort, Gabriel Peyré, Marco Cuturi:
Fast Optimal Transport Averaging of Neuroimaging Data. IPMI 2015: 261-272 - [c37]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Biologically Inspired Dynamic Textures for Probing Motion Perception. NIPS 2015: 1918-1926 - [c36]Jingwei Liang, Jalal Fadili, Gabriel Peyré, D. Russell Luke:
Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness. SSVM 2015: 642-653 - [i19]Vincent Duval, Gabriel Peyré:
Sparse Spikes Deconvolution on Thin Grids. CoRR abs/1503.08577 (2015) - [i18]Alexandre Gramfort, Gabriel Peyré, Marco Cuturi:
Fast Optimal Transport Averaging of Neuroimaging Data. CoRR abs/1503.08596 (2015) - [i17]Quentin Denoyelle, Vincent Duval, Gabriel Peyré:
Support Recovery for Sparse Deconvolution of Positive Measures. CoRR abs/1506.08264 (2015) - [i16]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Biologically Inspired Dynamic Textures for Probing Motion Perception. CoRR abs/1511.02705 (2015) - 2014
- [j31]Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen:
Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 48(2): 203-204 (2014) - [j30]Nicolas Papadakis, Gabriel Peyré, Édouard Oudet:
Optimal Transport with Proximal Splitting. SIAM J. Imaging Sci. 7(1): 212-238 (2014) - [j29]Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol:
Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM J. Imaging Sci. 7(1): 476-508 (2014) - [j28]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. 7(3): 1853-1882 (2014) - [j27]Charles-Alban Deledalle, Samuel Vaiter, Jalal Fadili, Gabriel Peyré:
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection. SIAM J. Imaging Sci. 7(4): 2448-2487 (2014) - [c35]Jingwei Liang, Mohamed-Jalal Fadili, Gabriel Peyré:
On the convergence rates of proximal splitting algorithms. ICIP 2014: 4146-4150 - [c34]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Local Linear Convergence of Forward-Backward under Partial Smoothness. NIPS 2014: 1970-1978 - [i15]Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal:
The Degrees of Freedom of Partly Smooth Regularizers. CoRR abs/1404.5557 (2014) - [i14]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Partly Smooth Regularization of Inverse Problems. CoRR abs/1405.1004 (2014) - [i13]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Low Complexity Regularization of Linear Inverse Problems. CoRR abs/1407.1598 (2014) - [i12]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:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [j26]James H. Elder, Timothy D. Oleskiw, Alex Yakubovich, Gabriel Peyré:
On growth and formlets: Sparse multi-scale coding of planar shape. Image Vis. Comput. 31(1): 1-13 (2013) - [j25]Hugo Raguet, Jalal Fadili, Gabriel Peyré:
A Generalized Forward-Backward Splitting. SIAM J. Imaging Sci. 6(3): 1199-1226 (2013) - [j24]Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili:
Robust Sparse Analysis Regularization. IEEE Trans. Inf. Theory 59(4): 2001-2016 (2013) - [c33]Sira Ferradans, Gui-Song Xia, Gabriel Peyré, Jean-François Aujol:
Static and Dynamic Texture Mixing Using Optimal Transport. SSVM 2013: 137-148 - [c32]Guillaume Tartavel, Yann Gousseau, Gabriel Peyré:
Constrained Sparse Texture Synthesis. SSVM 2013: 186-197 - [c31]Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. SSVM 2013: 428-439 - [i11]Mohamed-Jalal Fadili, Gabriel Peyré, Samuel Vaiter, Charles-Alban Deledalle, Joseph Salmon:
Stable Recovery with Analysis Decomposable Priors. CoRR abs/1304.4407 (2013) - [i10]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Robust Polyhedral Regularization. CoRR abs/1304.6033 (2013) - [i9]Vincent Duval, Gabriel Peyré:
Exact Support Recovery for Sparse Spikes Deconvolution. CoRR abs/1306.6909 (2013) - [i8]Samuel Vaiter, Mohammad Golbabaee, Jalal Fadili, Gabriel Peyré:
Model Selection with Piecewise Regular Gauges. CoRR abs/1307.2342 (2013) - [i7]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. CoRR abs/1307.5551 (2013) - 2012
- [j23]Miyoun Jung, Gabriel Peyré, Laurent D. Cohen:
Nonlocal Active Contours. SIAM J. Imaging Sci. 5(3): 1022-1054 (2012) - [c30]Gabriel Peyré, Jalal Fadili, Julien Rabin:
Wasserstein active contours. ICIP 2012: 2541-2544 - [c29]Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol:
Compact representations of stationary dynamic textures. ICIP 2012: 2993-2996 - [c28]Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal:
Unbiased risk estimation for sparse analysis regularization. ICIP 2012: 3053-3056 - [c27]Yining Hu, Miyoun Jung, Ahmed Oukili, Guanyu Yang, Jean-Claude Nunes, Jérôme Fehrenbach, Gabriel Peyré, Marc Bedossa, Limin Luo, Christine Toumoulin, Laurent D. Cohen:
Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging. ISBI 2012: 804-807 - [i6]Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal:
Risk estimation for matrix recovery with spectral regularization. CoRR abs/1205.1482 (2012) - [i5]Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal:
The degrees of freedom of the Group Lasso for a General Design. CoRR abs/1212.6478 (2012) - 2011
- [j22]Gabriel Peyré:
The Numerical Tours of Signal Processing. Comput. Sci. Eng. 13(4): 94-97 (2011) - [j21]Gabriel Peyré:
The Numerical Tours of Signal Processing Part 2: Multiscale Processings. Comput. Sci. Eng. 13(5): 68-71 (2011) - [j20]Gabriel Peyré:
The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration. Comput. Sci. Eng. 13(6): 72-75 (2011) - [j19]Adrian Ion, Nicole M. Artner, Gabriel Peyré, Walter G. Kropatsch, Laurent D. Cohen:
Matching 2D and 3D articulated shapes using the eccentricity transform. Comput. Vis. Image Underst. 115(6): 817-834 (2011) - [j18]Laurent Demanet, Gabriel Peyré:
Compressive Wave Computation. Found. Comput. Math. 11(3): 257-303 (2011) - [j17]Gabriel Peyré, Laurent D. Cohen, Joachim Weickert:
JMIV Special Issue - Mathematics and Image Analysis. J. Math. Imaging Vis. 41(1-2): 1-2 (2011) - [j16]Gabriel Peyré:
A Review of Adaptive Image Representations. IEEE J. Sel. Top. Signal Process. 5(5): 896-911 (2011) - [j15]Pierre Maurel, Jean-François Aujol, Gabriel Peyré:
Locally Parallel Texture Modeling. SIAM J. Imaging Sci. 4(1): 413-447 (2011) - [j14]Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré:
A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity. Signal Process. 91(12): 2699-2730 (2011) - [j13]Jalal Fadili, Gabriel Peyré:
Total Variation Projection With First Order Schemes. IEEE Trans. Image Process. 20(3): 657-669 (2011) - [c26]Miyoun Jung, Gabriel Peyré, Laurent D. Cohen:
Texture Segmentation via Non-local Non-parametric Active Contours. EMMCVPR 2011: 74-88 - [c25]Gabriel Peyré, Jalal Fadili:
Group sparsity with overlapping partition functions. EUSIPCO 2011: 303-307 - [c24]Gabriel Peyré, Jalal Fadili, Christophe Chesneau:
Adaptive structured block sparsity via dyadic partitioning. EUSIPCO 2011: 1455-1459 - [c23]Julien Rabin, Gabriel Peyré:
Wasserstein regularization of imaging problem. ICIP 2011: 1541-1544 - [c22]Miyoun Jung, Gabriel Peyré, Laurent D. Cohen:
Non-local segmentation and inpaiting. ICIP 2011: 3373-3376 - [c21]Miyoun Jung, Gabriel Peyré, Laurent D. Cohen:
Non-local Active Contours. SSVM 2011: 255-266 - [c20]Julien Rabin, Gabriel Peyré, Julie Delon, Marc Bernot:
Wasserstein Barycenter and Its Application to Texture Mixing. SSVM 2011: 435-446 - [i4]Charles Dossal, Marie-Line Chabanol, Gabriel Peyré, Jalal Fadili:
Sharp Support Recovery from Noisy Random Measurements by L1 minimization. CoRR abs/1101.1577 (2011) - [i3]Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré:
A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity. CoRR abs/1101.5320 (2011) - [i2]Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili:
Robust Sparse Analysis Regularization. CoRR abs/1109.6222 (2011) - [i1]Charles Dossal, Maher Kachour, Jalal Fadili, Gabriel Peyré, Christophe Chesneau:
The degrees of freedom of penalized l1 minimization. CoRR abs/1111.1162 (2011) - 2010
- [j12]Gabriel Peyré, Mickaël Péchaud, Renaud Keriven, Laurent D. Cohen:
Geodesic Methods in Computer Vision and Graphics. Found. Trends Comput. Graph. Vis. 5(3-4): 197-397 (2010) - [j11]Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio:
Derivatives with respect to metrics and applications: subgradient marching algorithm. Numerische Mathematik 116(3): 357-381 (2010) - [j10]Gabriel Peyré:
Texture Synthesis with Grouplets. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 733-746 (2010) - [j9]Gabriel Peyré, Jalal Fadili, Jean-Luc Starck:
Learning the Morphological Diversity. SIAM J. Imaging Sci. 3(3): 646-669 (2010) - [j8]Gabriel Peyré:
Best basis compressed sensing. IEEE Trans. Signal Process. 58(5): 2613-2622 (2010) - [c19]Timothy D. Oleskiw, James H. Elder, Gabriel Peyré:
On growth and formlets: Sparse multi-scale coding of planar shape. CVPR 2010: 459-466 - [c18]Julien Rabin, Gabriel Peyré, Laurent D. Cohen:
Geodesic Shape Retrieval via Optimal Mass Transport. ECCV (5) 2010: 771-784 - [c17]Nicolas Schmidt, Gabriel Peyré, Yves Frégnac, Per Roland:
Separation of traveling waves in cortical networks using optical imaging. ISBI 2010: 868-871
2000 – 2009
- 2009
- [j7]Gabriel Peyré:
Manifold models for signals and images. Comput. Vis. Image Underst. 113(2): 249-260 (2009) - [j6]Gabriel Peyré:
Sparse Modeling of Textures. J. Math. Imaging Vis. 34(1): 17-31 (2009) - [j5]Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio:
Numerical approximation of continuous traffic congestion equilibria. Networks Heterog. Media 4(3): 605-623 (2009) - [c16]Mickaël Péchaud, Renaud Keriven, Gabriel Peyré:
Extraction of tubular structures over an orientation domain. CVPR 2009: 336-342 - [c15]Pierre Maurel, Jean-François Aujol, Gabriel Peyré:
Locally Parallel Textures Modeling with Adapted Hilbert Spaces. EMMCVPR 2009: 429-442 - [c14]Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen:
Image compression with anisotropic triangulations. ICCV 2009: 2343-2348 - [c13]Mohamed-Jalal Fadili, Gabriel Peyré:
Total variation projection with first order schemes. ICIP 2009: 1325-1328 - [c12]Nizar Ouarti, Gabriel Peyré:
Best basis denoising with non-stationary wavelet packets. ICIP 2009: 3825-3828 - 2008
- [j4]Gabriel Peyré:
Image Processing with Nonlocal Spectral Bases. Multiscale Model. Simul. 7(2): 703-730 (2008) - [c11]Adrian Ion, Nicole M. Artner, Gabriel Peyré, Salvador B. López Mármol, Walter G. Kropatsch, Laurent D. Cohen:
3D shape matching by geodesic eccentricity. CVPR Workshops 2008: 1-8 - [c10]Gabriel Peyré, Sébastien Bougleux, Laurent D. Cohen:
Non-local Regularization of Inverse Problems. ECCV (3) 2008: 57-68 - [c9]Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen:
Anisotropic Geodesics for Perceptual Grouping and Domain Meshing. ECCV (2) 2008: 129-142 - 2007
- [j3]Stéphane Mallat, Gabriel Peyré:
A review of Bandlet methods for geometrical image representation. Numer. Algorithms 44(3): 205-234 (2007) - [c8]Gabriel Peyré:
Best Basis Compressed Sensing. SSVM 2007: 80-91 - [c7]Gabriel Peyré:
Non-negative Sparse Modeling of Textures. SSVM 2007: 628-639 - [c6]Gabriel Peyré:
Texture Synthesis and Modification with a Patch-Valued Wavelet Transform. SSVM 2007: 640-651 - 2006
- [j2]Gabriel Peyré, Laurent D. Cohen:
Geodesic Remeshing Using Front Propagation. Int. J. Comput. Vis. 69(1): 145-156 (2006) - [c5]Gabriel Peyré, Laurent D. Cohen:
Landmark-Based Geodesic Computation for Heuristically Driven Path Planning. CVPR (2) 2006: 2229-2236 - 2005
- [j1]Gabriel Peyré, Stéphane Mallat:
Surface compression with geometric bandelets. ACM Trans. Graph. 24(3): 601-608 (2005) - [c4]Gabriel Peyré, Laurent D. Cohen:
Geodesic Computation for Adaptive Remeshing. CVPR (2) 2005: 1193 - [c3]Gabriel Peyré, Stéphane Mallat:
Discrete bandelets with geometric orthogonal filters. ICIP (1) 2005: 65-68 - [c2]Gabriel Peyré, Laurent D. Cohen:
Heuristically Driven Front Propagation for Geodesic Paths Extraction. VLSM 2005: 173-185 - 2004
- [c1]Gabriel Peyré, Laurent D. Cohen:
Surface Segmentation Using Geodesic Centroidal Tesselation. 3DPVT 2004: 995-1002
Coauthor Index
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