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Number of documents

186

Publications of Gabriel Peyré


Journal articles76 documents

  • Paul Catala, Vincent Duval, Gabriel Peyré. A Low-Rank Approach to Off-the-Grid Sparse Superresolution. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2019, 12 (3), pp.1464-1500. ⟨10.1137/19M124071X⟩. ⟨hal-02411772⟩
  • Gabriel Peyré, Lenaic Chizat, François-Xavier Vialard, Justin Solomon. Quantum entropic regularization of matrix-valued optimal transport. European Journal of Applied Mathematics, Cambridge University Press (CUP), 2019, 30 (6), pp.1079-1102. ⟨10.1017/S0956792517000274⟩. ⟨hal-02411783⟩
  • Clarice Poon, Gabriel Peyré. MultiDimensional Sparse Super-Resolution. SIAM Journal on Mathematical Analysis, Society for Industrial and Applied Mathematics, 2019, 51 (1), pp.1-44. ⟨10.1137/17M1147822⟩. ⟨hal-02411771⟩
  • Quentin Denoyelle, Vincent Duval, Gabriel Peyré, Emmanuel Soubies. The Sliding Frank-Wolfe Algorithm and its Application to Super-Resolution Microscopy. Inverse Problems, IOP Publishing, In press, ⟨10.1088/1361-6420/ab2a29⟩. ⟨hal-01921604⟩
  • Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili. Model Consistency of Partly Smooth Regularizers. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2018, 64 (3), pp.1725-1737. ⟨10.1109/TIT.2017.2713822⟩. ⟨hal-01658847⟩
  • Gabriel Peyré, Marco Cuturi. Computational Optimal Transport. Foundations and Trends in Machine Learning, Now Publishers, 2018, 11 (5-6), pp.355-206. ⟨10.1561/2200000073⟩. ⟨hal-02411770⟩
  • Jalal M. Fadili, Jérôme Malick, Gabriel Peyré. Sensitivity Analysis for Mirror-Stratifiable Convex Functions. SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2018, 28 (4), pp.2975-3000. ⟨10.1137/17M113825X⟩. ⟨hal-01560130v2⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. Local Linear Convergence Analysis of Primal-Dual Splitting Methods. Optimization, Taylor & Francis, In press. ⟨hal-01921834⟩
  • Jonathan Vacher, Andrew Meso, Laurent U Perrinet, Gabriel Peyré. Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. Neural Computation, Massachusetts Institute of Technology Press (MIT Press), In press, pp.1 - 38. ⟨10.1162/neco_a_01142⟩. ⟨hal-01901635⟩
  • Morgan Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, et al.. Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2018, 11 (1), pp.643-678. ⟨10.1137/17M1140431⟩. ⟨hal-01717943v2⟩
  • Karim Lounici, Katia Meziani, Gabriel Peyré. Adaptive sup-norm estimation of the Wigner function in noisy quantum homodyne tomography. Annals of Statistics, Institute of Mathematical Statistics, 2018, 46 (3), pp.1318-1351. ⟨10.1214/17-AOS1586⟩. ⟨hal-01491197⟩
  • Samuel Vaiter, Charles-Alban Deledalle, Jalal M. Fadili, Gabriel Peyré, Charles Dossal. The degrees of freedom of partly smooth regularizers . Annals of the Institute of Statistical Mathematics, Springer Verlag, 2017, 69 (4), pp.791 - 832. ⟨10.1007/s10463-016-0563-z⟩. ⟨hal-00981634v4⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. ACTIVITY IDENTIFICATION AND LOCAL LINEAR CONVERGENCE OF FORWARD–BACKWARD-TYPE METHODS. SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2017. ⟨hal-01658850⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. Local Convergence Properties of Douglas–Rachford and Alternating Direction Method of Multipliers. Journal of Optimization Theory and Applications, Springer Verlag, 2017, 172 (3), pp.874-913. ⟨10.1007/s10957-017-1061-z⟩. ⟨hal-01658848⟩
  • Guillaume Carlier, Vincent Duval, Gabriel Peyré, Bernhard Schmitzer. Convergence of Entropic Schemes for Optimal Transport and Gradient Flows. SIAM Journal on Mathematical Analysis, Society for Industrial and Applied Mathematics, 2017, 49 (2), ⟨10.1137/15M1050264⟩. ⟨hal-01246086⟩
  • Vincent Duval, Gabriel Peyré. Sparse Spikes Super-resolution on Thin Grids II: the Continuous Basis Pursuit. Inverse Problems, IOP Publishing, 2017, 33 (9), ⟨10.1088/1361-6420/aa7fce⟩. ⟨hal-01389956v2⟩
  • Vincent Duval, Gabriel Peyré. Sparse Regularization on Thin Grids I: the LASSO. Inverse Problems, IOP Publishing, 2017, 33 (5), ⟨10.1088/1361-6420/aa5e12⟩. ⟨hal-01135200v2⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. Convergence Rates with Inexact Non-expansive Operators. Mathematical Programming, Series A, Springer, 2016. ⟨hal-01658852⟩
  • Guillaume Tartavel, Gabriel Peyré, Yann Gousseau. Wasserstein Loss for Image Synthesis and Restoration. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2016, 9 (4), pp.1726-1755. ⟨hal-01292843⟩
  • Nicolas Bonneel, Gabriel Peyré, Marco Cuturi. Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport. ACM Transactions on Graphics, Association for Computing Machinery, 2016, 35 (4), pp.71:1--71:10. ⟨10.1145/2897824.2925918⟩. ⟨hal-01303148⟩
  • Guillaume Carlier, Gabriel Peyré, Jean-Marie Mirebeau, Vincent Duval. A Γ-Convergence Result for the Upper Bound Limit Analysis of Plates. ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2016, 50 (1), pp.215-235. ⟨hal-01112226⟩
  • Justin Solomon, Gabriel Peyré, Vladimir Kim, Suvrit Sra. Entropic Metric Alignment for Correspondence Problems. ACM Transactions on Graphics, Association for Computing Machinery, 2016, Proc. SIGGRAPH 2016, 35 (4), pp.72:1-72:13. ⟨10.1145/2897824.2925903⟩. ⟨hal-01305808⟩
  • Lorraine Perronnet, Maria Eugenia Vilarchao, Guillaume Hucher, Daniel E. Shulz, Gabriel Peyré, et al.. An automated workflow for the anatomo-functional mapping of the barrel cortex. Journal of Neuroscience Methods, Elsevier, 2016, pp.11. ⟨10.1016/j.jneumeth.2015.09.008⟩. ⟨hal-01196436⟩
  • Quentin Denoyelle, Vincent Duval, Gabriel Peyré. Support Recovery for Sparse Super-Resolution of Positive Measures. Journal of Fourier Analysis and Applications, Springer Verlag, 2016, ⟨10.1007/s00041-016-9502-x⟩. ⟨hal-01270184⟩
  • Antonin Chambolle, Vincent Duval, Gabriel Peyré, Clarice Poon. Geometric properties of solutions to the total variation denoising problem. Inverse Problems, IOP Publishing, 2016. ⟨hal-01323720⟩
  • Hugo Raguet, Cyril Monier, Luc Foubert, Isabelle Ferezou, Yves Fregnac, et al.. Spatially Structured Sparse Morphological Component Separation for Voltage-Sensitive Dye Optical Imaging. Journal of Neuroscience Methods, Elsevier, 2016, 257, pp.76-96. ⟨10.1016/j.jneumeth.2015.09.024⟩. ⟨hal-01200646⟩
  • Guillaume Charpiat, Giacomo Nardi, Gabriel Peyré, François-Xavier Vialard. Piecewise rigid curve deformation via a Finsler steepest descent. Interfaces and Free Boundaries, European Mathematical Society, 2015, 18, pp.1-44. ⟨10.4171/ifb/355⟩. ⟨hal-00849885v2⟩
  • Jérémy Bleyer, Guillaume Carlier, Vincent Duval, Jean-Marie Mirebeau, Gabriel Peyré. A $\Gamma$-Convergence Result for the Upper Bound Limit Analysis of Plates. ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2015, ⟨10.1051/m2an/2015040⟩. ⟨hal-01069919v2⟩
  • Samuel Vaiter, Mohammad Golbabaee, Jalal M. Fadili, Gabriel Peyré. Model Selection with Low Complexity Priors. Information and Inference, Oxford University Press (OUP), 2015, 52 p. ⟨hal-00842603v3⟩
  • Guillaume Tartavel, Yann Gousseau, Gabriel Peyré. Variational Texture Synthesis with Sparsity and Spectrum Constraints. Journal of Mathematical Imaging and Vision, Springer Verlag, 2015, 52 (1), pp.124-144. ⟨10.1007/s10851-014-0547-7⟩. ⟨hal-00881847v3⟩
  • Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, et al.. Convolutional wasserstein distances. ACM Transactions on Graphics, Association for Computing Machinery, 2015, 34 (4), pp.66:1-66:11. ⟨10.1145/2766963⟩. ⟨hal-01188953⟩
  • Marco Cuturi, Gabriel Peyré. A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2015. ⟨hal-01188954⟩
  • Vincent Duval, Gabriel Peyré. Exact Support Recovery for Sparse Spikes Deconvolution. Foundations of Computational Mathematics, Springer Verlag, 2015, 15 (5), pp.1315-1355. ⟨10.1007/s10208-014-9228-6⟩. ⟨hal-00839635v3⟩
  • Nicolas Bonneel, Julien Rabin, Gabriel Peyré, Hanspeter Pfister. Sliced and Radon Wasserstein Barycenters of Measures. Journal of Mathematical Imaging and Vision, Springer Verlag, 2015, 1 (51), pp.22-45. ⟨10.1007/s10851-014-0506-3⟩. ⟨hal-00881872⟩
  • Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol. Regularized Discrete Optimal Transport. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (3), pp.1853-1882. ⟨10.1137/130929886⟩. ⟨hal-01188963⟩
  • Nicolas Papadakis, Gabriel Peyré, Edouard Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (1), pp.212-238. ⟨10.1137/130920058⟩. ⟨hal-00816211v2⟩
  • G.-S. Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol. Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 8 (1), pp.476-508. ⟨hal-00988761⟩
  • Charles-Alban Deledalle, Samuel Vaiter, Jalal M. Fadili, Gabriel Peyré. Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (4), pp.2448-2487. ⟨hal-00987295v2⟩
  • Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal M. Fadili. Robust Sparse Analysis Regularization. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2013, 59 (4), pp.2001-2016. ⟨10.1109/TIT.2012.2233859⟩. ⟨hal-00627452v5⟩
  • Hugo Raguet, Jalal M. Fadili, Gabriel Peyré. A Generalized Forward-Backward Splitting. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2013, 6 (13), pp.1199-1226. ⟨10.1137/120872802⟩. ⟨hal-00613637v5⟩
  • Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol. Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2013, 7 (1), pp.476-508. ⟨10.1137/130918010⟩. ⟨hal-00816342v2⟩
  • Charles Dossal, Maher Kachour, Jalal M. Fadili, Gabriel Peyré, Christophe Chesneau. The degrees of freedom of the Lasso for general design matrix. Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2013, 23 (2), pp.809-828. ⟨10.5705/ss.2011.281⟩. ⟨hal-00638417v3⟩
  • Samuel Vaiter, Charles Deledalle, Gabriel Peyré, Charles Dossal, Jalal M. Fadili. Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation. Applied and Computational Harmonic Analysis, Elsevier, 2013, 35 (3), pp.433-451. ⟨10.1016/j.acha.2012.11.006⟩. ⟨hal-00687751v2⟩
  • Gabriel Peyré, Yves Frégnac. Editorial: New trends in neurogeometrical approaches to the brain and mind problem.. Journal of Physiology - Paris, Elsevier, 2013, 106 (5-6), pp.171-2. ⟨10.1016/j.jphysparis.2012.09.001⟩. ⟨hal-00850594⟩
  • James Elder, Timothy Oleskiw, Alex Yakubovich, Gabriel Peyré. On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape. Image and Vision Computing, Elsevier, 2013, 31 (1), pp.1-13. ⟨10.1016/j.imavis.2012.11.002⟩. ⟨hal-00943838⟩
  • Charles Dossal, Marie-Line Chabanol, Gabriel Peyré, Jalal M. Fadili. Sharp Support Recovery from Noisy Random Measurements by L1 minimization. Applied and Computational Harmonic Analysis, Elsevier, 2012, 33 (1), pp.24-43. ⟨hal-00553670v2⟩
  • Jung Miyoun, Gabriel Peyré, Laurent D. Cohen. Nonlocal Active Contours. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2012, 5 (3), pp.1022-1054. ⟨10.1137/11085863X⟩. ⟨hal-00650735⟩
  • Adrian Ion, Nicole M. Artner, Gabriel Peyré, Walter G. Kropatsch, Laurent D. Cohen. Matching 2D and 3D Articulated Shapes using Eccentricity. Computer Vision and Image Understanding, Elsevier, 2011, 115 (6), pp.817-834. ⟨10.1016/j.cviu.2011.02.006⟩. ⟨hal-00365019v2⟩
  • Jalal M. Fadili, Gabriel Peyré. Total Variation Projection with First Order Schemes. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2011, 20 (3), pp.657-669. ⟨10.1109/TIP.2010.2072512⟩. ⟨hal-00380491v3⟩
  • Gabriel Peyré. A Review of Adaptive Image Representations. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2011, 5 (5), pp.896-911. ⟨hal-00519525⟩
  • Gabriel Peyré. Un exploration numérique du traitement des signaux, des images et des surfaces. Matapli, SMAI, 2011, 94, pp.41-64. ⟨hal-00558668⟩
  • Pierre Maurel, Jean-François Aujol, Gabriel Peyré. Locally Parallel Texture Modeling. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2011, 4 (1), pp.413-447. ⟨hal-00415779v2⟩
  • Guillaume Carlier, Myriam Comte, Ioan Ionescu, Gabriel Peyré. A Projection Approach to the Numerical Analysis of Limit Load Problems. Mathematical Models and Methods in Applied Sciences, World Scientific Publishing, 2011, 21 (6), pp.1291-1316. ⟨hal-00450000⟩
  • Gabriel Peyré, Sébastien Bougleux, Laurent D. Cohen. Non-local Regularization of Inverse Problems. Inverse Problems and Imaging , AIMS American Institute of Mathematical Sciences, 2011, 5 (2), pp.511-530. ⟨10.3934/ipi.2011.5.511⟩. ⟨hal-00419791v2⟩
  • Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré. A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity. Signal Processing, Elsevier, 2011, 91 (12), pp.2699-2730. ⟨10.1016/j.sigpro.2011.04.025⟩. ⟨hal-01330604⟩
  • Laurent Jacques, Laurent Duval, Caroline Chaux, Gabriel Peyré. A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity. Signal Processing, Elsevier, 2011, 91 (12), pp.2699-2730. ⟨10.1016/j.sigpro.2011.04.025⟩. ⟨hal-00588381⟩
  • Gabriel Peyré. The Numerical Tours of Signal Processing - Advanced Computational Signal and Image Processing. IEEE Computing in Science and Engineering, 2011, 13 (4), pp.94-97. ⟨hal-00519521⟩
  • Laurent Demanet, Gabriel Peyré. Compressive Wave Computation. Fundation of Computational Mathematics, 2011, 11 (3), pp.257-303. ⟨hal-00368919⟩
  • Gabriel Peyré. Best Basis Compressed Sensing. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2010, 58 (5), pp.2613-2622. ⟨10.1109/TSP.2010.2042490⟩. ⟨hal-00365017v3⟩
  • Gabriel Peyré, Jalal M. Fadili, Jean-Luc Starck. Learning the Morphological Diversity. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2010, 3 (3), pp.646-669. ⟨10.1137/090770783⟩. ⟨hal-00415782v2⟩
  • Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio. Derivatives with respect to metrics and applications: Subgradient Marching Algorithm. Numerische Mathematik, Springer Verlag, 2010, 116 (3), pp.357-381. ⟨hal-00360971⟩
  • Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio. Derivatives with Respect to Metrics and Applications: Subgradient Marching Algorithm. Numerische Mathematik, Springer Verlag, 2010, 116 (3), pp.357-381. ⟨10.1007/s00211-010-0305-8⟩. ⟨hal-00360794v2⟩
  • Charles Dossal, Gabriel Peyré, Jalal M. Fadili. A Numerical Exploration of Compressed Sampling Recovery. Linear Algebra and its Applications, Elsevier, 2010, 432 (7), pp.1663-1679. ⟨10.1016/j.laa.2009.11.022⟩. ⟨hal-00402455v2⟩
  • Gabriel Peyré, Mickaël Péchaud, Renaud Keriven, Laurent D. Cohen. Geodesic Methods in Computer Vision and Graphics. Foundations and Trends in Computer Graphics and Vision, Now Publishers, 2010, 5 (3-4), pp.197-397. ⟨hal-00528999⟩
  • Lenaic Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard. An Interpolating Distance between Optimal Transport and Fisher-Rao. Foundations of Computational Mathematics, Springer Verlag, 2010. ⟨hal-01271984⟩
  • Gabriel Peyré. Manifold Models for Signals and Images. Computer Vision and Image Understanding, Elsevier, 2009, 113 (2), pp.249-260. ⟨hal-00359729⟩
  • Gabriel Peyré. Texture Synthesis with Grouplets. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2009, 32 (4), pp.733-746. ⟨10.1109/TPAMI.2009.54⟩. ⟨hal-00360795⟩
  • Guillaume Carlier, Myriam Comte, Gabriel Peyré. Approximation of Maximal Cheeger Sets by Projection. ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2009, 43 (1), pp.139-150. ⟨hal-00359736⟩
  • Gabriel Peyré. Sparse Modeling of Textures. Journal of Mathematical Imaging and Vision, Springer Verlag, 2009, 34 (1), pp.17-31. ⟨10.1007/s10851-008-0120-3⟩. ⟨hal-00359747⟩
  • Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio. Numerical Approximation of Continuous Traffic Congestion Equilibria. Networks and Heterogeneous Media, AIMS-American Institute of Mathematical Sciences, 2009, 4 (3), pp.605-623. ⟨10.3934/nhm.2009.4.605⟩. ⟨hal-00360796v2⟩
  • Gabriel Peyré, Laurent D. Cohen. Heuristically Driven Front Propagation for Fast Geodesic Extraction. International Journal for Computational Vision and Biomechanics, 2008, 1 (1), pp.55-67. ⟨hal-00365292⟩
  • Gabriel Peyré. Image Processing with Non-local Spectral Bases. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Society for Industrial and Applied Mathematics, 2008, 7 (2), pp.703-730. ⟨hal-00359721⟩
  • Stéphane Mallat, Gabriel Peyré. Orthogonal Bandlet Bases for Geometric Images Approximation. Communications on Pure and Applied Mathematics, Wiley, 2008, 61 (9), pp.1173-1212. ⟨hal-00359740⟩
  • Stéphane Mallat, Gabriel Peyré. A Review of Bandlet Methods for Geometrical Image Representation. Numerical Algorithms, Springer Verlag, 2007, 44 (3), pp.205-234. ⟨hal-00359744⟩
  • Gabriel Peyré, Laurent D. Cohen. Geodesic Remeshing Using Front Propagation. International Journal of Computer Vision, Springer Verlag, 2006, 69 (1), pp.145-156. ⟨hal-00359719⟩
  • Gabriel Peyré, Stéphane Mallat. Surface Compression With Geometric Bandelets. ACM Transactions on Graphics, Association for Computing Machinery, 2005, 24 (3), pp.601--608. ⟨hal-00360322⟩

Preprints, Working Papers, ...18 documents

  • Lenaic Chizat, Pierre Roussillon, Flavien Léger, François-Xavier Vialard, Gabriel Peyré. Faster Wasserstein Distance Estimation with the Sinkhorn Divergence. 2020. ⟨hal-02867271⟩
  • Clarice Poon, Nicolas Keriven, Gabriel Peyré. The geometry of off-the-grid compressed sensing. 2020. ⟨hal-02484957⟩
  • Arthur Mensch, Gabriel Peyré. Online Sinkhorn: Optimal Transport distances from sample streams. 2020. ⟨hal-02495581v2⟩
  • Pierre Ablin, Gabriel Peyré, Thomas Moreau. Super-efficiency of automatic differentiation for functions defined as a minimum. 2020. ⟨hal-02941922⟩
  • Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré. Ground Metric Learning on Graphs. 2019. ⟨hal-02366636⟩
  • Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-Ichi Amari, Alain Trouvé, et al.. Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. 2018. ⟨hal-01898858⟩
  • Paul Catala, Vincent Duval, Gabriel Peyré. A Low-Rank Approach to Off-The-Grid Sparse Deconvolution. 2017. ⟨hal-01672896⟩
  • Lenaic Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard. Scaling Algorithms for Unbalanced Transport Problems. 2017. ⟨hal-01434914⟩
  • Gabriel Peyré. Claude Shannon et la compression des données. 2016. ⟨hal-01343890v3⟩
  • Gabriel Peyré. Parcimonie, problèmes inverses et échantillonnage compressé. 2016. ⟨hal-01331580⟩
  • Lenaic Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard. Unbalanced Optimal Transport: Geometry and Kantorovich Formulation. 2015. ⟨hal-01271981⟩
  • Giacomo Nardi, Gabriel Peyré, François-Xavier Vialard. Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics. 2014. ⟨hal-00952672v3⟩
  • Samuel Vaiter, Charles Deledalle, Gabriel Peyré, Jalal M. Fadili, Charles Dossal. The degrees of freedom of the Group Lasso for a General Design. 2012. ⟨hal-00768896v2⟩
  • Sira Ferradans, Gui-Song Xia, Gabriel Peyré, Jean-François Aujol. Optimal Transport Mixing of Gaussian Texture Models. 2011. ⟨hal-00662720⟩
  • Nicolas Schmidt, Gabriel Peyré, Yves Frégnac. Dissipative Wave Model Fitting Using Localized Sources. 2011. ⟨hal-00570685⟩
  • Fethallah Benmansour, Guillaume Carlier, Gabriel Peyré, Filippo Santambrogio. Numerical Approximation of Continuous Traffic Congestion Equilibria. 2009. ⟨hal-00360970⟩
  • Mickaël Péchaud, Gabriel Peyré, Renaud Keriven. Extraction of Vessels Networks over an Orientation Domain. 2008. ⟨hal-00365021⟩
  • Gabriel Peyré. Numerical Mesh Processing. 2008. ⟨hal-00365931⟩

Reports1 document

  • Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili. Model Consistency of Partly Smooth Regularizers. [Research Report] CNRS. 2014. ⟨hal-00987293v4⟩

Conference papers82 documents

  • Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal M. Fadili, Marcelo Pereyra. Wasserstein Control of Mirror Langevin Monte Carlo. Proceedings of Machine Learning Research, Conference on Learning Theory (COLT), Jul 2020, Graz, Austria. pp.1 - 28. ⟨hal-02881037⟩
  • Clarice Poon, Nicolas Keriven, Gabriel Peyré. Support Localization and the Fisher Metric for off-the-grid Sparse Regularization. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019, Naha, Japan. ⟨10.03340⟩. ⟨hal-02367999⟩
  • Nicolas Keriven, Gabriel Peyré. Universal Invariant and Equivariant Graph Neural Networks. Advances in Neural Information Processing Systems (NeurIPS), 2019, Vancouver, Canada. ⟨hal-02484980⟩
  • Arthur Mensch, Mathieu Blondel, Gabriel Peyré. Geometric Losses for Distributional Learning. Proceedings of the International Conference on Machine Learning, 2019, Long Beach, United States. ⟨hal-02129281⟩
  • Aude Genevay, Lenaic Chizat, Francis Bach, Marco Cuturi, Gabriel Peyré. Sample Complexity of Sinkhorn divergences. AISTATS'19 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Okinawa, Japan. ⟨10.02733⟩. ⟨hal-02411822⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. A Multi-step Inertial Forward–Backward Splitting Method for Non-convex Optimization. Advances in Neural Information Processing Systems (NIPS), Dec 2017, Barcelona, Spain. ⟨hal-01658854⟩
  • Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré. Optimal Transport for Diffeomorphic Registration. MICCAI 2017, Sep 2017, Quebec, Canada. ⟨hal-01540455⟩
  • Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis Bach. Stochastic Optimization for Large-scale Optimal Transport. NIPS 2016 - Thirtieth Annual Conference on Neural Information Processing System, Dec 2016, Barcelona, Spain. ⟨hal-01321664v2⟩
  • Gabriel Peyré, Marco Cuturi, Justin Solomon. Gromov-Wasserstein Averaging of Kernel and Distance Matrices. ICML 2016, Jun 2016, New-York, United States. ⟨hal-01322992⟩
  • Quentin Denoyelle, Vincent Duval, Gabriel Peyré. Asymptotic of Sparse Support Recovery for Positive Measures. 5th International Workshop on New Computational Methods for Inverse Problems (NCMIP2015), 2015, Cachan, France. ⟨10.1088/1742-6596/657/1/012013⟩. ⟨hal-01271269⟩
  • Alexandre Gramfort, Gabriel Peyré, Marco Cuturi. Fast Optimal Transport Averaging of Neuroimaging Data. Information Processing in Medical Imaging (IPMI), Jun 2015, Isle of Skye, United Kingdom. ⟨hal-01135198⟩
  • Kévin Degraux, Gabriel Peyré, Jalal M. Fadili, Laurent Jacques. Sparse Support Recovery with Non-smooth Loss Functions. Advances in Neural Information Processing Systems (NIPS), Nov 2015, Barcelone, Spain. ⟨hal-01658855⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. Iteration-Complexity of a Generalized Forward Backward Splitting Algorithm. ICASSP'14, May 2014, Florence, Italy. 5 pp. ⟨hal-01073917⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. On the Convergence Rates of Proximal Splitting Algorithms. IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. ⟨hal-01080059⟩
  • Jingwei Liang, Jalal M. Fadili, Gabriel Peyré. Local Linear Convergence of Forward--Backward under Partial Smoothness. Advances in Neural Information Processing Systems (NIPS), Dec 2014, Montréal, Canada. ⟨hal-01150460⟩
  • Guillaume Tartavel, Yann Gousseau, Gabriel Peyré. Constrained Sparse Texture Synthesis. Proceedings of SSVM'13, Jun 2013, Seggauberg, Austria. ⟨hal-00798570v2⟩
  • Jalal M. Fadili, Gabriel Peyré, Samuel Vaiter, Charles-Alban Deledalle, Joseph Salmon. Stable Recovery with Analysis Decomposable Priors. SPARS 2013, Jul 2013, Lausanne, Switzerland. 1 pp. ⟨hal-00926727⟩
  • Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol. Regularized Discrete Optimal Transport. SSVM 2013 - International Conference on Scale Space and Variational Methods in Computer Vision, Jun 2013, Schloss Seggau, Leibnitz, Austria. pp.428-439, ⟨10.1007/978-3-642-38267-3_36⟩. ⟨hal-00797078⟩
  • Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili, Charles-Alban Deledalle, Charles Dossal. The degrees of freedom of the group Lasso for a general design. SPARS'13, Jul 2013, Lausanne, Switzerland. 1 page. ⟨hal-00926929⟩
  • Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili. Robustesse au bruit des régularisations polyhédrales. 24th GRETSI Symposium on Signal and Image Processing, Sep 2013, Brest, France. pp.ID130. ⟨hal-00927075⟩
  • Charles-Alban Deledalle, Gabriel Peyré, Jalal M. Fadili. Stein COnsistent Risk Estimator (SCORE) for hard thresholding. Signal Processing with Adaptive Sparse Structured Representations., Jul 2013, Lausanne, Switzerland. ⟨hal-00776303v2⟩
  • Guillaume Tartavel, Yann Gousseau, Gabriel Peyré. Synthèse de texture par décomposition parcimonieuse contrainte. Gretsi 2013, Sep 2013, Brest, France. ⟨hal-00870444⟩
  • Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili. Robust Polyhedral Regularization. International Conference on Sampling Theory and Applications (SampTA), 2013, Bremen, Germany. ⟨hal-00816377⟩
  • Jalal M. Fadili, Gabriel Peyré, Samuel Vaiter, Charles-Alban Deledalle, Joseph Salmon. Reconstruction Stable par Régularisation Décomposable Analyse. Colloque sur le Traitement du Signal et des Images (GRETSI'13), Sep 2013, Brest, France. pp.ID208. ⟨hal-00927561⟩
  • Jalal M. Fadili, Gabriel Peyré, Samuel Vaiter, Charles-Alban Deledalle, Joseph Salmon. Stable Recovery with Analysis Decomposable Priors. Proc. SampTA'13, Jul 2013, Bremen, Germany. pp.113-116. ⟨hal-00926732⟩
  • Ying Hu, Mi Youn Jung, Ahmed Oukili, Guanyu Yang, Jean-Claude Nunes, et al.. Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging. IEEE International Symposium on Biomedical Imaging (ISBI'12), May 2012, Barcelone, Spain. pp.804-807. ⟨hal-00702613⟩
  • Samuel Vaiter, Charles Deledalle, Gabriel Peyré, Jalal M. Fadili, Charles Dossal. The Degrees of Freedom of the Group Lasso. International Conference on Machine Learning Workshop (ICML), 2012, Edinburgh, United Kingdom. ⟨hal-00695292⟩
  • Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol. Compact Representations of Stationary Dynamic Textures. ICIP'12, Sep 2012, United States. ⟨hal-00662719⟩
  • Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili, Charles Dossal. Risk estimation for matrix recovery with spectral regularization. ICML'2012 workshop on Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing, Jun 2012, Edinburgh, United Kingdom. ⟨hal-00695326v3⟩
  • Charles Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili, Charles Dossal. Proximal Splitting Derivatives for Risk Estimation. NCMIP'12, Apr 2012, France. pp.012003, ⟨10.1088/1742-6596/386/1/012003⟩. ⟨hal-00670213⟩
  • Gabriel Peyré, Jalal M. Fadili, Julien Rabin. Wasserstein Active Contours. ICIP'12, Sep 2012, Orlando, United States. pp.2541 - 2544, ⟨10.1109/ICIP.2012.6467416⟩. ⟨hal-00593424⟩
  • Charles Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili, Charles Dossal. Unbiased Risk Estimation for Sparse Analysis Regularization. Proc. ICIP'12, Sep 2012, Orlando, United States. pp.3053-3056. ⟨hal-00662718⟩
  • Rabin Julien, Gabriel Peyré. Régularisation de Wasserstein. Application au Transfert de Couleur. GRETSI'11, 2011, France. ⟨hal-00744813⟩
  • Rabin Julien, Gabriel Peyré, Julie Delon, Bernot Marc. Wasserstein Barycenter and its Application to Texture Mixing. SSVM'11, 2011, Israel. pp.435-446. ⟨hal-00476064⟩
  • Maher Kachour, Jalal M. Fadili, Christophe Chesneau, Charles Dossal, Gabriel Peyré. The degrees of freedom of the Lasso in underdetermined linear regression models. SPARS 2011, Jul 2011, Edinburgh, United Kingdom. pp.56. ⟨hal-00625219⟩
  • Gabriel Peyré, Jalal M. Fadili. Learning Analysis Sparsity Priors. Sampta'11, 2011, Singapour, Singapore. 4 pp. ⟨hal-00542016⟩
  • Rabin Julien, Gabriel Peyré. Synthèse de textures par transport optimal. GRETSI'11, 2011, France. ⟨hal-00744812⟩
  • Gabriel Peyré, Jalal M. Fadili, Christophe Chesneau. Adaptive Structured Block Sparsity Via Dyadic Partitioning. EUSIPCO 2011, Aug 2011, Barcolona, Spain. pp.1455-1459. ⟨hal-00597772⟩
  • Jung Miyoun, Gabriel Peyré, Laurent D. Cohen. Non-local Active Contours. SSVM'11: 3rd International Conference on Scale Space and Variational Methods in Computer Vision, May 2011, Ein-Gedi, Israel. ⟨hal-00591281⟩
  • Jung Miyoun, Gabriel Peyré, Laurent D. Cohen. Non-local Segmentation and Inpaiting. ICIP'11: IEEE International Conference on Image Processing, Sep 2011, Brussels, Belgium. ⟨hal-00591280⟩
  • Jung Miyoun, Gabriel Peyré, Laurent D. Cohen. Texture Segmentation via Non-local Non-parametric Active Contours. EMMCVPR, Jul 2011, Saint Petersburg, Russia. pp.74-88. ⟨hal-00598164⟩
  • Gabriel Peyré, Jalal M. Fadili. Apprentissage d'a priori analyse. GRETSI'11, 2011, Bordeaux, France. 4 pp. ⟨hal-00744810⟩
  • Julien Rabin, Gabriel Peyré. Wasserstein Regularization of Imaging Problems. ICIP 2011 : 2011 IEEE International Conference on Image Processing, Sep 2011, Bruxelles, Belgium. ⟨hal-00591279⟩
  • Gabriel Peyré, Jalal M. Fadili, Christophe Chesneau. Parcimonie Adaptative Structurée par Blocs Dyadiques. GRETSI'11, 2011, Bordeaux, France. 4 pp. ⟨hal-00744811⟩
  • Gabriel Peyré, Jalal M. Fadili. Group Sparsity with Overlapping Partition Functions. EUSIPCO 2011, Aug 2011, Barcelona, Spain. pp.303-307. ⟨hal-00597771⟩
  • Laurent D. Cohen, Sébastien Bougleux, Gabriel Peyré. Image Compression with Anisotropic Geodesic Triangulation. 2010 SIAM Conference on Imaging Science. Minisymposium on Anisotropic Fast Marching and Applications, Apr 2010, Chicago, USA, United States. ⟨hal-00701406⟩
  • Julien Rabin, Gabriel Peyré, Laurent D. Cohen. Geodesic Shape Retrieval via Optimal Mass Transport. 11th European Conference on Computer Vision, Sep 2010, Heraklion, Crete, Greece. pp.771-784, ⟨10.1007/978-3-642-15555-0_56⟩. ⟨hal-00498607⟩
  • Timothy Oleskiw, James Elder, Gabriel Peyré. On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape. CVPR'10, Jun 2010, San-Francisco, United States. pp.459-466 . ⟨hal-00470560⟩
  • Nicolas Schmidt, Gabriel Peyré, Yves Frégnac, Per Roland. Separation of Traveling Waves in Cortical Networks Using Optical Imaging. IEEE International Symposium on Biomedical Imaging (ISBI) 2010, Apr 2010, Rotterdam, Netherlands. pp.868-871, ⟨10.1109/ISBI.2010.5490124⟩. ⟨hal-00450733⟩
  • Nizar Ouarti, Gabriel Peyré. Best Basis Denoising with Non-stationary Wavelet Packets. ICIP'09, Nov 2009, Cairo, Egypt. pp.3825-3828, ⟨10.1109/ICIP.2009.5414264⟩. ⟨hal-00410869⟩
  • Charles Dossal, Gabriel Peyré, Jalal M. Fadili. Une exploration numérique des performances de l'échantillonage compressé. Gretsi'09, Sep 2009, Dijon, France. ⟨hal-00385018⟩
  • Jalal M. Fadili, Gabriel Peyré. Total Variation Projection with First Order Schemes. ICIP'09, Nov 2009, Cairo, Egypt. pp.1325-1328. ⟨hal-00401251⟩
  • Gabriel Peyré, Jalal M. Fadili. Algorithmes de premier ordre pour la projection sur une contrainte de variation totale. Gretsi'09, Sep 2009, Dijon, France. ⟨hal-00385681⟩
  • Mickaël Péchaud, Gabriel Peyré, Renaud Keriven. Extraction of Tubular Structures over an Orientation Domain. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09), Jun 2009, Florida, United States. ⟨hal-00365599⟩
  • Pierre Maurel, Jean-François Aujol, Gabriel Peyré. Locally Parallel Textures Modeling with Adapted Hilbert Spaces. Energy Minimization Methods in Computer Vision and Pattern Recognition 2009, Aug 2009, Bonn, Germany. pp.429-442, ⟨10.1007/978-3-642-03641-5⟩. ⟨hal-00392270⟩
  • Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen. Image Compression with Anisotropic Geodesic Triangulations. IEEE 12th International Conference o Computer Vision, Sep 2009, Kyoto, Japan. pp.2343-2348, ⟨10.1109/ICCV.2009.5459425⟩. ⟨hal-00366933⟩
  • Charles Dossal, Gabriel Peyré, Jalal M. Fadili. A Numerical Exploration of Compressed Sampling Recovery. SPARS'09, Signal Processing with Adaptive Sparse Structured Representations, Apr 2009, Saint-Malo, France. 5p. ⟨hal-00365028⟩
  • Charles Dossal, Gabriel Peyré, Jalal M. Fadili. Challenging Restricted Isometry Constants with Greedy Pursuit. ITW'09, Oct 2009, Taormina, Italy. pp.475-479. ⟨hal-00373450v2⟩
  • Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen. Anisotropic Geodesics for Perceptual Grouping and Domain Meshing. ECCV 2008, Oct 2009, Marseilles, France. pp.129-142. ⟨hal-00360797⟩
  • Sébastien Bougleux, Gabriel Peyré, Laurent D. Cohen. Compression d'images par triangulation géodésique anisotrope. Gretsi'09, Sep 2009, Dijon, France. ⟨hal-00385265⟩
  • Pierre Maurel, Jean-François Aujol, Gabriel Peyré. Extraction de textures localement parallèles par un espace de Hilbert adapté. Gretsi'09, Sep 2009, Dijon, France. ⟨hal-00392267⟩
  • Gabriel Peyré, Sébastien Bougleux, Laurent D. Cohen. Non-local Regularization of Inverse Problems. European Conference on Computer Vision (ECCV'08), Oct 2008, Marseilles, France. pp.57-68. ⟨hal-00365030⟩
  • Adrian Ion, Nicole M. Artner, Gabriel Peyré, Salvador B. Lopez Marmol, Walter G. Kropatsch, et al.. 3D Shape Matching by Geodesic Eccentricity. Search in 3D 2008, Jun 2008, Anchorage, Alaska, United States. pp.1-8, ⟨10.1109/CVPRW.2008.4563032⟩. ⟨hal-00419826⟩
  • Sébastien Bougleux, Gabriel Peyré, Laurent Cohen. Anisotropic geodesics for perceptual grouping and domain meshing. 10th European Conference on Computer Vision, Oct 2008, Marseille, France. pp.129-142, ⟨10.1007/978-3-540-88688-4_10⟩. ⟨hal-00333330⟩
  • Gabriel Peyré, Sébastien Bougleux, Laurent D. Cohen. Non-local Regularization of Inverse Problems. 10th European Conference on Computer Vision, Oct 2008, Marseille, France. pp.57-68, ⟨10.1007/978-3-540-88690-7_5⟩. ⟨hal-00333331⟩
  • Gabriel Peyré. Dynamic Texture Synthesis with Grouplets. MAPMO workshop on image processing, Apr 2008, Orléans, France. ⟨hal-00365956⟩
  • Adrian Ion, Gabriel Peyré, Yll Haxhimusa, Samuel Peltier, Walter Kropatsch, et al.. Shape Matching Using the Geodesic Eccentricity Transform - A Study. 31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR), Aug 2007, Krumbach, Austria. pp.97--104. ⟨hal-00365897⟩
  • Charles Dossal, Gabriel Peyré. Critère d'identifiabilité pour la minimisation L1. GRETSI'07, Sep 2007, Troye, France. pp.993-996. ⟨hal-00365959⟩
  • Gabriel Peyré. Best Basis Compressed Sensing. Scale Space and Variational Methods in Computer Vision (SSVM'07), Jun 2007, Ischia, Italy. pp.80-91, ⟨10.1007/978-3-540-72823-8_8⟩. ⟨hal-00365607⟩
  • Gabriel Peyré, Erwan Le Pennec, Charles Dossal, Stéphane Mallat. Geometric Estimation with Orthogonal Bandlet Bases. SPIE Wavelets XII, Aug 2007, San Diego, CA, United States. pp.67010M.1-67010M.10. ⟨hal-00365606⟩
  • Gabriel Peyré, Jalal M. Fadili, Jean-Luc Starck. Apprentissage de dictionnaires parcimonieux adaptés pour la séparation d'images. Gretsi'07, Sep 2007, Troye, France. pp.9-12. ⟨hal-00365967⟩
  • Gabriel Peyré, Jalal M. Fadili, Jean-Luc Starck. Learning Adapted Dictionaries for Geometry and Texture Separation. SPIE Wavelets XII, Aug 2007, San Diego, CA, United States. pp.67011T. ⟨hal-00365601⟩
  • Erwan Le Pennec, Charles Dossal, Gabriel Peyré, Stéphane Mallat. Débruitage géométrique d'images dans des bases orthonormées de bandelettes. GRETSI'07, Sep 2007, Troye, France. pp.969-972. ⟨hal-00365965⟩
  • Gabriel Peyré. Non-negative Sparse Modeling of Textures. SSVM'07, Jun 2007, Ischia, Italy. pp.628-639. ⟨hal-00365608⟩
  • Gabriel Peyré. Texture Synthesis and Modification with a Patch-Valued Wavelet Transform. Scale Space and Variational Methods in Computer Vision (SSVM'07), Jun 2007, Ischia, Italy. pp.640-651, ⟨10.1007/978-3-540-72823-8⟩. ⟨hal-00365612⟩
  • Gabriel Peyré, Laurent D. Cohen. Landmark-based Geodesic Computation for Heuristically Driven Path Planning. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), Jun 2006, New York, NY, United States. pp.2229-2236, ⟨10.1109/CVPR.2006.163⟩. ⟨hal-00365622⟩
  • Gabriel Peyré. Random Sensing of Geometric Images. NeuroComp'06, Oct 2006, Pont-à-Mousson, France. pp.91-94. ⟨hal-00365628⟩
  • Gabriel Peyré, Stéphane Mallat. Discrete bandelets with geometric orthogonal filters. IEEE International Conference on Image Processing, 2005. (ICIP 2005), Sep 2005, Genova, Italy. pp.65-68, ⟨10.1109/ICIP.2005.1529688⟩. ⟨hal-00365624⟩
  • Gabriel Peyré, Laurent D. Cohen. Heuristically Driven Front Propagation for Geodesic Paths Extraction. Variational, Geometric, and Level Set Methods in Computer Vision (VLSM'05), Oct 2005, Beijing, China. pp.173-185, ⟨10.1007/11567646⟩. ⟨hal-00365623⟩
  • Gabriel Peyré, Laurent D. Cohen. Remaillage géodésique par propagation de fronts. RFIA'04, Jan 2004, Toulouse, France. ⟨hal-00365970⟩
  • Gabriel Peyré, Laurent D. Cohen. Surface Segmentation Using Geodesic Centroidal Tesselation. 3DPVT'04, Sep 2004, Tessaloniki, Greece. pp.995-1002. ⟨hal-00365625⟩
  • Gabriel Peyré, Laurent D. Cohen. Geodesic Remeshing Using Front Propagation. VLSM'03, Sep 2003, Nice, France. pp.33-40. ⟨hal-00365627⟩

Book sections4 documents

  • Samuel Vaiter, Gabriel Peyré, Jalal M. Fadili. Low Complexity Regularization of Linear Inverse Problems. Sampling Theory, a Renaissance, Pfander, Götz E. (Ed.), 50 p., 2015, 978-3-319-19748-7. ⟨10.1007/978-3-319-19749-4⟩. ⟨hal-01018927v3⟩
  • Gabriel Peyré, Laurent D. Cohen. Geodesic Methods for Shape and Surface Processing. Tavares, João Manuel R.S.; Jorge, R.M. Natal. Advances in Computational Vision and Medical Image Processing: Methods and Applications, Springer Verlag, pp.29-56, 2009, Computational Methods in Applied Sciences, Vol. 13, ⟨10.1007/978-1-4020-9086-8⟩. ⟨hal-00365899⟩
  • Gabriel Peyré, Stéphane Mallat. Traitement géométrique des images par bandelettes. SMF. Journée annuelle de la SMF, SMF, pp.36-69, 2006, Journée annuelle de la SMF, "Mathématiques et vision". ⟨hal-00365901⟩
  • Gabriel Peyré, Laurent D. Cohen. Geodesic Computations for Fast and Accurate Surface Remeshing and Parameterization. Progress in Nonlinear Differential Equations and Their Applications, Birkhäuser Basel, pp.157-171, 2005, Progress in Nonlinear Differential Equations and Their Applications, Vol. 63, ⟨10.1007/3-7643-7384-9⟩. ⟨hal-00365900⟩

Directions of work or proceedings2 documents

  • Maïtine Bergounioux, Jean-Baptiste Caillau, Thomas Haberkorn, Gabriel Peyré, Christoph Schnörr. Variational methods in imaging and geometric control. France. de Gruyter, 2017, Radon Series on Comput. and Applied Math. ⟨hal-01315508⟩
  • Gabriel Peyré, Jalal M. Fadili, Jean-François Aujol, Laurent D. Cohen. Special issue on Mathematics and Image Analysis in Journal of Mathematical Imaging and Vision. France. 48 (2), pp.203-382, 2014. ⟨hal-01100410⟩

Other publications1 document

Theses1 document

  • Gabriel Peyré. Géométrie multi-échelles pour les images et les textures. Mathématiques [math]. Ecole Polytechnique X, 2005. Français. ⟨tel-00365025⟩

Videos1 document

  • Gabriel Peyré, Antoine Orlandi, Fanny Bastien. Gabriel Peyre - Le transport optimal numérique et ses applications : Des mathématiciens primés par l’Académie des Sciences 2017. 2017. ⟨medihal-01764004⟩