Gabriel Peyré

According to our database1, Gabriel Peyré authored at least 142 papers between 2004 and 2021.

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Bibliography

2021
Ground Metric Learning on Graphs.
J. Math. Imaging Vis., 2021

Low-Rank Sinkhorn Factorization.
CoRR, 2021

Momentum Residual Neural Networks.
CoRR, 2021

Fast and accurate optimization on the orthogonal manifold without retraction.
CoRR, 2021

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors.
CoRR, 2021

2020
Distribution-Based Invariant Deep Networks for Learning Meta-Features.
CoRR, 2020

Online Sinkhorn: Optimal Transport distances from sample streams.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Super-efficiency of automatic differentiation for functions defined as a minimum.
Proceedings of the 37th International Conference on Machine Learning, 2020

Wasserstein Control of Mirror Langevin Monte Carlo.
Proceedings of the Conference on Learning Theory, 2020

2019
MultiDimensional Sparse Super-Resolution.
SIAM J. Math. Anal., 2019

A Low-Rank Approach to Off-the-Grid Sparse Superresolution.
SIAM J. Imaging Sci., 2019

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA).
J. Math. Imaging Vis., 2019

Computational Optimal Transport.
Found. Trends Mach. Learn., 2019

Degrees of freedom for off-the-grid sparse estimation.
CoRR, 2019

Sinkhorn Divergences for Unbalanced Optimal Transport.
CoRR, 2019

Universal Invariant and Equivariant Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Geometric Losses for Distributional Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Deep Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Support Localization and the Fisher Metric for off-the-grid Sparse Regularization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Sample Complexity of Sinkhorn Divergences.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Model Consistency for Learning with Mirror-Stratifiable Regularizers.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Model Consistency of Partly Smooth Regularizers.
IEEE Trans. Inf. Theory, 2018

Semidual Regularized Optimal Transport.
SIAM Rev., 2018

Sensitivity Analysis for Mirror-Stratifiable Convex Functions.
SIAM J. Optim., 2018

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.
SIAM J. Imaging Sci., 2018

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.
Neural Comput., 2018

Scaling algorithms for unbalanced optimal transport problems.
Math. Comput., 2018

An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics.
Found. Comput. Math., 2018

Semi-dual Regularized Optimal Transport.
CoRR, 2018

A Dual Certificates Analysis of Compressive Off-the-Grid Recovery.
CoRR, 2018

Learning Generative Models with Sinkhorn Divergences.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Convergence of Entropic Schemes for Optimal Transport and Gradient Flows.
SIAM J. Math. Anal., 2017

Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.
SIAM J. Optim., 2017

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.
J. Optim. Theory Appl., 2017

JMIV Special Issue Mathematics and Image Analysis.
J. Math. Imaging Vis., 2017

A Low-Rank Approach to Off-The-Grid Sparse Deconvolution.
CoRR, 2017

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.
CoRR, 2017

Optimal Transport for Diffeomorphic Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Entropic metric alignment for correspondence problems.
ACM Trans. Graph., 2016

Wasserstein barycentric coordinates: histogram regression using optimal transport.
ACM Trans. Graph., 2016

Wasserstein Loss for Image Synthesis and Restoration.
SIAM J. Imaging Sci., 2016

Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics.
SIAM J. Imaging Sci., 2016

A Smoothed Dual Approach for Variational Wasserstein Problems.
SIAM J. Imaging Sci., 2016

Convergence rates with inexact non-expansive operators.
Math. Program., 2016

Quantum Optimal Transport for Tensor Field Processing.
CoRR, 2016

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

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Optimization for Large-scale Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sparse Support Recovery with Non-smooth Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gromov-Wasserstein Averaging of Kernel and Distance Matrices.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Fast Dictionary Learning with a Smoothed Wasserstein Loss.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Convolutional wasserstein distances: efficient optimal transportation on geometric domains.
ACM Trans. Graph., 2015

Iterative Bregman Projections for Regularized Transportation Problems.
SIAM J. Sci. Comput., 2015

Entropic Approximation of Wasserstein Gradient Flows.
SIAM J. Imaging Sci., 2015

Variational Texture Synthesis with Sparsity and Spectrum Constraints.
J. Math. Imaging Vis., 2015

Guest Editorial: Mathematics and Image Analysis.
J. Math. Imaging Vis., 2015

Sliced and Radon Wasserstein Barycenters of Measures.
J. Math. Imaging Vis., 2015

Exact Support Recovery for Sparse Spikes Deconvolution.
Found. Comput. Math., 2015

Sparse Spikes Deconvolution on Thin Grids.
CoRR, 2015

Support Recovery for Sparse Deconvolution of Positive Measures.
CoRR, 2015

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Biologically Inspired Dynamic Textures for Probing Motion Perception.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Optimal Transport Averaging of Neuroimaging Data.
Proceedings of the Information Processing in Medical Imaging, 2015

The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Synthesizing and Mixing Stationary Gaussian Texture Models.
SIAM J. Imaging Sci., 2014

Optimal Transport with Proximal Splitting.
SIAM J. Imaging Sci., 2014

Regularized Discrete Optimal Transport.
SIAM J. Imaging Sci., 2014

Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection.
SIAM J. Imaging Sci., 2014

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis.
J. Math. Imaging Vis., 2014

Low Complexity Regularization of Linear Inverse Problems.
CoRR, 2014

Partly Smooth Regularization of Inverse Problems.
CoRR, 2014

The Degrees of Freedom of Partly Smooth Regularizers.
CoRR, 2014

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

Local Linear Convergence of Forward-Backward under Partial Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the convergence rates of proximal splitting algorithms.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Robust Sparse Analysis Regularization.
IEEE Trans. Inf. Theory, 2013

A Generalized Forward-Backward Splitting.
SIAM J. Imaging Sci., 2013

On growth and formlets: Sparse multi-scale coding of planar shape.
Image Vis. Comput., 2013

Robust Polyhedral Regularization
CoRR, 2013

Stable Recovery with Analysis Decomposable Priors
CoRR, 2013

Model Selection with Piecewise Regular Gauges.
CoRR, 2013

Constrained Sparse Texture Synthesis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Static and Dynamic Texture Mixing Using Optimal Transport.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Regularized Discrete Optimal Transport.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012
Nonlocal Active Contours.
SIAM J. Imaging Sci., 2012

The degrees of freedom of the Group Lasso for a General Design
CoRR, 2012

Risk estimation for matrix recovery with spectral regularization
CoRR, 2012

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Compact representations of stationary dynamic textures.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Wasserstein active contours.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Unbiased risk estimation for sparse analysis regularization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Total Variation Projection With First Order Schemes.
IEEE Trans. Image Process., 2011

A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity.
Signal Process., 2011

Locally Parallel Texture Modeling.
SIAM J. Imaging Sci., 2011

A Review of Adaptive Image Representations.
IEEE J. Sel. Top. Signal Process., 2011

JMIV Special Issue - Mathematics and Image Analysis.
J. Math. Imaging Vis., 2011

Compressive Wave Computation.
Found. Comput. Math., 2011

Matching 2D and 3D articulated shapes using the eccentricity transform.
Comput. Vis. Image Underst., 2011

The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration.
Comput. Sci. Eng., 2011

The Numerical Tours of Signal Processing Part 2: Multiscale Processings.
Comput. Sci. Eng., 2011

The Numerical Tours of Signal Processing.
Comput. Sci. Eng., 2011

The degrees of freedom of penalized l1 minimization
CoRR, 2011

Sharp Support Recovery from Noisy Random Measurements by L1 minimization
CoRR, 2011

Wasserstein Barycenter and Its Application to Texture Mixing.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Non-local Active Contours.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Wasserstein regularization of imaging problem.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Non-local segmentation and inpaiting.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Adaptive structured block sparsity via dyadic partitioning.
Proceedings of the 19th European Signal Processing Conference, 2011

Group sparsity with overlapping partition functions.
Proceedings of the 19th European Signal Processing Conference, 2011

Texture Segmentation via Non-local Non-parametric Active Contours.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
Best basis compressed sensing.
IEEE Trans. Signal Process., 2010

Learning the Morphological Diversity.
SIAM J. Imaging Sci., 2010

Texture Synthesis with Grouplets.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Derivatives with respect to metrics and applications: subgradient marching algorithm.
Numerische Mathematik, 2010

Geodesic Methods in Computer Vision and Graphics.
Found. Trends Comput. Graph. Vis., 2010

Separation of traveling waves in cortical networks using optical imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Geodesic Shape Retrieval via Optimal Mass Transport.
Proceedings of the Computer Vision - ECCV 2010, 2010

On growth and formlets: Sparse multi-scale coding of planar shape.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Numerical approximation of continuous traffic congestion equilibria.
Networks Heterog. Media, 2009

Sparse Modeling of Textures.
J. Math. Imaging Vis., 2009

Manifold models for signals and images.
Comput. Vis. Image Underst., 2009

Best basis denoising with non-stationary wavelet packets.
Proceedings of the International Conference on Image Processing, 2009

Image compression with anisotropic triangulations.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Locally Parallel Textures Modeling with Adapted Hilbert Spaces.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Extraction of tubular structures over an orientation domain.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Image Processing with Nonlocal Spectral Bases.
Multiscale Model. Simul., 2008

Non-local Regularization of Inverse Problems.
Proceedings of the Computer Vision, 2008

Anisotropic Geodesics for Perceptual Grouping and Domain Meshing.
Proceedings of the Computer Vision, 2008

3D shape matching by geodesic eccentricity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
A review of Bandlet methods for geometrical image representation.
Numer. Algorithms, 2007

Texture Synthesis and Modification with a Patch-Valued Wavelet Transform.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Non-negative Sparse Modeling of Textures.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006
Geodesic Remeshing Using Front Propagation.
Int. J. Comput. Vis., 2006

Landmark-Based Geodesic Computation for Heuristically Driven Path Planning.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Surface compression with geometric bandelets.
ACM Trans. Graph., 2005

Heuristically Driven Front Propagation for Geodesic Paths Extraction.
Proceedings of the Variational, 2005

Discrete bandelets with geometric orthogonal filters.
Proceedings of the 2005 International Conference on Image Processing, 2005

Geodesic Computation for Adaptive Remeshing.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Surface Segmentation Using Geodesic Centroidal Tesselation.
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004


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