Gabriel Peyré
#45,679
Most Influential Person Now
Researcher
Gabriel Peyré's AcademicInfluence.com Rankings
Gabriel Peyrécomputer-science Degrees
Computer Science
#2628
World Rank
#2748
Historical Rank
Numerical Analysis
#39
World Rank
#42
Historical Rank
Information Management
#78
World Rank
#80
Historical Rank
Algorithms
#266
World Rank
#269
Historical Rank
Gabriel Peyrémathematics Degrees
Mathematics
#4276
World Rank
#6111
Historical Rank
Applied Mathematics
#151
World Rank
#168
Historical Rank
Measure Theory
#1591
World Rank
#1969
Historical Rank
Download Badge
Computer Science Mathematics
Why Is Gabriel Peyré Influential?
(Suggest an Edit or Addition)According to Wikipedia, Gabriel Peyré is a French mathematician. Most of his work lies in the field of transportation theory. He is a CNRS senior researcher and a Professor in the mathematics and applications department of the École normale supérieure in Paris. He was awarded the CNRS Silver Medal in 2021.
Gabriel Peyré's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Computational Optimal Transport (2018) (1315)
- Computational Optimal Transport: With Applications to Data Science (2019) (766)
- Iterative Bregman Projections for Regularized Transportation Problems (2014) (649)
- Wasserstein Barycenter and Its Application to Texture Mixing (2011) (510)
- Learning Generative Models with Sinkhorn Divergences (2017) (464)
- Non-local Regularization of Inverse Problems (2008) (371)
- A Generalized Forward-Backward Splitting (2011) (348)
- Stochastic Optimization for Large-scale Optimal Transport (2016) (346)
- Sliced and Radon Wasserstein Barycenters of Measures (2014) (334)
- Interpolating between Optimal Transport and MMD using Sinkhorn Divergences (2018) (320)
- Exact Support Recovery for Sparse Spikes Deconvolution (2013) (290)
- Gromov-Wasserstein Averaging of Kernel and Distance Matrices (2016) (251)
- Manifold models for signals and images (2009) (226)
- Regularized Discrete Optimal Transport (2013) (215)
- Geodesic Remeshing Using Front Propagation (2003) (214)
- Universal Invariant and Equivariant Graph Neural Networks (2019) (204)
- Scaling algorithms for unbalanced optimal transport problems (2017) (196)
- Sample Complexity of Sinkhorn Divergences (2018) (195)
- Sparse Modeling of Textures (2009) (190)
- Surface compression with geometric bandelets (2005) (187)
- An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics (2010) (179)
- Optimal Transport with Proximal Splitting (2013) (169)
- A Smoothed Dual Approach for Variational Wasserstein Problems (2015) (165)
- Entropic metric alignment for correspondence problems (2016) (164)
- Best Basis Compressed Sensing (2007) (164)
- Convolutional wasserstein distances (2015) (151)
- Convergence of Entropic Schemes for Optimal Transport and Gradient Flows (2015) (148)
- A review of Bandlet methods for geometrical image representation (2007) (144)
- Robust Sparse Analysis Regularization (2011) (137)
- Geodesic Methods in Computer Vision and Graphics (2010) (137)
- Total Variation Projection With First Order Schemes (2009) (130)
- Fast Dictionary Learning with a Smoothed Wasserstein Loss (2016) (127)
- Unbalanced optimal transport: Dynamic and Kantorovich formulations (2018) (122)
- A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity (2011) (119)
- Orthogonal bandelet bases for geometric images approximation (2008) (113)
- Discrete bandelets with geometric orthogonal filters (2005) (112)
- Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning (2017) (109)
- Entropic Approximation of Wasserstein Gradient Flows (2015) (104)
- Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection (2014) (104)
- Fast Optimal Transport Averaging of Neuroimaging Data (2015) (100)
- Convergence rates with inexact non-expansive operators (2014) (96)
- Image Processing with Nonlocal Spectral Bases (2008) (89)
- Activity Identification and Local Linear Convergence of Forward-Backward-type Methods (2015) (88)
- Local Linear Convergence of Forward-Backward under Partial Smoothness (2014) (87)
- Texture Synthesis with Grouplets (2010) (86)
- Support Recovery for Sparse Super-Resolution of Positive Measures (2017) (78)
- The Numerical Tours of Signal Processing (2011) (77)
- Unbalanced Optimal Transport: Geometry and Kantorovich Formulation (2015) (77)
- Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport (2021) (76)
- Learning the Morphological Diversity (2010) (72)
- Optimal Transport for Diffeomorphic Registration (2017) (71)
- Learning Analysis Sparsity Priors (2011) (68)
- Extraction of tubular structures over an orientation domain (2009) (67)
- Group sparsity with overlapping partition functions (2011) (67)
- Surface segmentation using geodesic centroidal tesselation (2004) (67)
- Synthesizing and Mixing Stationary Gaussian Texture Models (2014) (61)
- A Review of Adaptive Image Representations (2011) (60)
- Nonlocal Active Contours (2012) (59)
- A numerical exploration of compressed sampling recovery (2010) (54)
- Wasserstein regularization of imaging problem (2011) (51)
- Locally Parallel Texture Modeling (2011) (50)
- Sinkhorn-AutoDiff: Tractable Wasserstein Learning of Generative Models (2017) (49)
- The Numerical Tours of Signal Processing - Advanced Computational Signal and Image Processing (2011) (48)
- Geodesic Computations for Fast and Accurate Surface Remeshing and Parameterization (2005) (48)
- Geodesic Shape Retrieval via Optimal Mass Transport (2010) (48)
- Wasserstein active contours (2012) (47)
- Variational Texture Synthesis with Sparsity and Spectrum Constraints (2015) (45)
- Sparse regularization on thin grids I: the Lasso (2017) (43)
- Model Consistency of Partly Smooth Regularizers (2014) (41)
- The degrees of freedom of partly smooth regularizers (2014) (41)
- Matching 2D and 3D articulated shapes using the eccentricity transform (2011) (40)
- MultiDimensional Sparse Super-Resolution (2017) (38)
- Semi-dual Regularized Optimal Transport (2018) (38)
- Learning adapted dictionaries for geometry and texture separation (2007) (36)
- APPROXIMATION OF MAXIMAL CHEEGER SETS BY PROJECTION (2009) (36)
- Wasserstein Control of Mirror Langevin Monte Carlo (2020) (35)
- Derivatives with respect to metrics and applications: subgradient marching algorithm (2010) (35)
- Local Convergence Properties of Douglas–Rachford and Alternating Direction Method of Multipliers (2017) (34)
- Image Processing with Non-local Spectral Bases (2008) (34)
- Anisotropic Geodesics for Perceptual Grouping and Domain Meshing (2008) (33)
- 3D shape matching by geodesic eccentricity (2008) (33)
- Sparse spikes super-resolution on thin grids II: the continuous basis pursuit (2017) (31)
- Low Complexity Regularization of Linear Inverse Problems (2014) (31)
- Geodesic Methods for Shape and Surface Processing (2009) (30)
- Wasserstein Loss for Image Synthesis and Restoration (2016) (29)
- A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization (2016) (29)
- Numerical approximation of continuous traffic congestion equilibria (2009) (28)
- Non-local Active Contours (2011) (27)
- Sharp Support Recovery from Noisy Random Measurements by L1 minimization (2011) (27)
- Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness (2014) (26)
- Shape Matching Using the Geodesic Eccentricity Transform - A Study (2007) (23)
- Image compression with anisotropic triangulations (2009) (23)
- The degrees of freedom of the Group Lasso for a General Design (2012) (21)
- Heuristically Driven Front Propagation for Fast Geodesic Extraction (2008) (21)
- Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics (2014) (20)
- Stable Recovery with Analysis Decomposable Priors (2013) (20)
- Sensitivity Analysis for Mirror-Stratifiable Convex Functions (2017) (20)
- Static and Dynamic Texture Mixing Using Optimal Transport (2013) (19)
- Heuristically Driven Front Propagation for Geodesic Paths Extraction (2005) (18)
- Quantum entropic regularization of matrix-valued optimal transport (2017) (18)
- A low-rank approach to off-the-grid sparse deconvolution (2017) (18)
- Support Localization and the Fisher Metric for off-the-grid Sparse Regularization (2018) (17)
- Sparse Spikes Deconvolution on Thin Grids (2015) (17)
- Adaptive structured block sparsity via dyadic partitioning (2011) (16)
- On growth and formlets: Sparse multi-scale coding of planar shape (2010) (16)
- Unbiased risk estimation for sparse analysis regularization (2012) (16)
- Stochastic Deep Networks (2018) (15)
- Geometrical image estimation with orthogonal bandlet bases (2007) (14)
- Sparse Spikes Super-resolution on Thin Grids I: the LASSO (2016) (14)
- Texture Segmentation via Non-local Non-parametric Active Contours (2011) (14)
- Risk estimation for matrix recovery with spectral regularization (2012) (14)
- Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging (2012) (13)
- Landmark-Based Geodesic Computation for Heuristically Driven Path Planning (2006) (13)
- Support Recovery for Sparse Deconvolution of Positive Measures (2015) (13)
- Optimal Transport improves cell-cell similarity inference in single-cell omics data (2021) (13)
- Geometric Losses for Distributional Learning (2019) (12)
- Best basis denoising with non-stationary wavelet packets (2009) (11)
- Compact representations of stationary dynamic textures (2012) (11)
- Non-negative Sparse Modeling of Textures (2007) (11)
- An automated workflow for the anatomo-functional mapping of the barrel cortex (2016) (11)
- Activity Identification and Local Linear Convergence of Inertial Forward-Backward Splitting (2015) (11)
- Numerical Mesh Processing (2008) (10)
- Optimal Transport Mixing of Gaussian Texture Models (2012) (10)
- Constrained Sparse Texture Synthesis (2013) (10)
- Biologically Inspired Dynamic Textures for Probing Motion Perception (2015) (10)
- Model Selection with Piecewise Regular Gauges (2013) (10)
- Variational methods in imaging and geometric control (2016) (9)
- Exact Support Recovery for Sparse Spikes Deconvolution (2014) (9)
- Quantum Optimal Transport for Tensor Field Processing (2016) (9)
- Proximal Splitting Derivatives for Risk Estimation (2012) (9)
- Robust Polyhedral Regularization (2013) (8)
- Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures (2016) (8)
- A PROJECTION APPROACH TO THE NUMERICAL ANALYSIS OF LIMIT LOAD PROBLEMS (2011) (8)
- Spatially Structured Sparse Morphological Component Separation for voltage-sensitive dye optical imaging (2016) (7)
- Extraction of Vessels Networks over an Orientation Domain (2008) (7)
- A Dual Certificates Analysis of Compressive Off-the-Grid Recovery (2018) (6)
- The degrees of freedom of penalized l1 minimization (2011) (6)
- Geometric Estimation with Orthogonal Bandlet Bases (2007) (6)
- Sparse Support Recovery with Non-smooth Loss Functions (2016) (6)
- Compressive Wave Computation (2008) (6)
- The Numerical Tours of Signal Processing Part 2: Multiscale Processings (2011) (6)
- Oriented Patterns Synthesis (2007) (5)
- A Low-Rank Approach to Off-the-Grid Sparse Superresolution (2019) (5)
- Non-local segmentation and inpaiting (2011) (5)
- Texture Synthesis and Modification with a Patch-Valued Wavelet Transform (2007) (5)
- Finsler Steepest Descent with Applications to Piecewise-regular Curve Evolution (2013) (4)
- Total Variation Denoising and Support Localization of the Gradient (2016) (4)
- 16. Twist maps and Arnold diffusion for diffeomorphisms (2016) (4)
- Matching 2 D & 3 D Articulated Shapes using Eccentricity (2008) (4)
- Optimal transport improves cell–cell similarity inference in single-cell omics data (2022) (4)
- 3. Image registration using phase–amplitude separation (2016) (4)
- Mathematical Foundations of Data Sciences (2018) (4)
- Partly Smooth Regularization of Inverse Problems (2014) (4)
- Asymptotic of Sparse Support Recovery for Positive Measures (2015) (4)
- Support Recovery for Sparse Super-Resolution of Positive Measures (2016) (3)
- The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution (2015) (3)
- Model Consistency for Learning with Mirror-Stratifiable Regularizers (2018) (3)
- Challenging restricted isometry constants with greedy pursuit (2009) (3)
- Literature Review on Sparse Optimization (2008) (3)
- Wasserstein Regularization of Imaging Problems (2017) (3)
- 9. Non-degenerate forms of the generalized Euler–Lagrange condition for state-constrained optimal control problems (2016) (2)
- Optimal transport-based dictionary learning and its application to Euclid-like Point Spread Function representation (2017) (2)
- Separation of traveling waves in cortical networks using optical imaging (2010) (2)
- The degrees of freedom of the Lasso in underdetermined linear regression models (2011) (2)
- Image Compression with Anisotropic Geodesic Triangulations (2020) (2)
- Editorial IMA IAI - Information and Inference special issue on optimal transport in data sciences (2019) (2)
- Adaptive sup-norm estimation of the Wigner function in noisy quantum homodyne tomography (2018) (2)
- JMIV Special Issue (2011) (1)
- Dynamic Texture Synthesis with Grouplets (2008) (1)
- Geodesic Shapes and Surfaces Retrieval via Optimal Mass Transport (2010) (1)
- Guest Editorial: Mathematics and Image Analysis (2015) (1)
- Editorial: New trends in neurogeometrical approaches to the brain and mind problem (2012) (1)
- Locally Parallel Textures Modeling with Adapted Hilbert Spaces (2009) (1)
- Sparse Support Identifiability from Noisy Randomized Measurement (2010) (0)
- Sparse Support Recovery with l∞ Data Fidelity (2016) (0)
- Convergence rates with inexact non-expansive operators (2015) (0)
- The degrees of freedom of partly smooth regularizers (2016) (0)
- Preface to the Special Issue on Optimization for Data Sciences (2019) (0)
- A Second-order Total Variation Metric on the Space of Immersed Curves (2014) (0)
- Variational Texture Synthesis with Sparsity and Spectrum Constraints (2014) (0)
- Recovery guarantees for low complexity models (Conference Presentation) (2017) (0)
- Remaillage géodésique par propagation de fronts Geodesic Remeshing Using Front Propagation (2003) (0)
- Ground Metric Learning on Graphs (2020) (0)
- Gabriel Peyre - Le transport optimal numérique et ses applications (2017) (0)
- Memo for the 2021 SIGGRAPH course Computational Optimal Transport (2021) (0)
- Low complexity regularization of inverse problem - Recovery guarantees (2013) (0)
- Dissipative Wave Model Fitting Using Localized Sources (2011) (0)
- Compression d'images par triangulation géodésique anisotrope (2009) (0)
- Optimal Transport and Barycenters Between Several Metric Spaces (2016) (0)
- The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration (2011) (0)
- Inverse Problem Regularization with Weak Decomposable Priors . Part I : Recovery Guarantees (2013) (0)
- 4. Rotation invariance in exemplar-based image inpainting (2016) (0)
- On the convergence rates of proximal splitting algorithms (2014) (0)
- Chapter 1 Optimal Transport 1 . 1 Radon Measures (2019) (0)
- Numerical Optimal Transport and its Applications (2019) (0)
- An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics (2016) (0)
- Guest Editorial (2013) (0)
- Correction of the exercises from the book A Wavelet Tour of Signal Processing (2010) (0)
- Course notes on Optimization for Machine Learning (2020) (0)
- Special issue on Mathematics and Image Analysis in Journal of Mathematical Imaging and Vision (2014) (0)
- Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) (2014) (0)
- Ants Crabs Glasses Hands Humans Octopuses Pliers Snakes Spiders (2018) (0)
- JMIV Special Issue Mathematics and Image Analysis (2011) (0)
- Objectif Agregation, 2nd edition (2004) (0)
- Remaillage géodésique par propagation de fronts (2004) (0)
- The Sliding Frank-Wolfe Algorithm for the BLASSO (2019) (0)
- Local Convergence Properties of Douglas–Rachford and Alternating Direction Method of Multipliers (2017) (0)
- Course notes on Computational Optimal Transport (2019) (0)
- COMPONENTS SEPARATION IN OPTICAL IMAGING WITH BLOCK-STRUCTURED SPARSE MODEL (2011) (0)
- Paired single-cell multi-omics data integration with Mowgli (2023) (0)
- Random Sensing of Geometric Images (2006) (0)
- Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA) (2014) (0)
- Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA) (2019) (0)
- JMIV Special Issue Mathematics and Image Analysis (2017) (0)
- Sliced and Radon Wasserstein Barycenters of Measures (2014) (0)
- Low noise regimes for ℓ regularization : continuous and discrete settings (2014) (0)
- Active Contours (2021) (0)
- Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16) (2016) (0)
- A Review of Wasserstein Barycenter Algorithms, with a New One (2015) (0)
- Best Basis Compressive Sensing (2009) (0)
- OPTIMAL TRANSPORT MIXING OF GAUSSIAN (2012) (0)
- Guest Editorial: Mathematics and Image Analysis (2015) (0)
- Mathematics of Neural Networks (2020) (0)
- Supplementary to Smooth Bilevel Programming for Sparse Regularization (2021) (0)
- Geodesic Computation for Adaptive Remeshing (2005) (0)
This paper list is powered by the following services:
Other Resources About Gabriel Peyré
What Schools Are Affiliated With Gabriel Peyré?
Gabriel Peyré is affiliated with the following schools:
