Discover gpeyre/2017-MCOM-unbalanced-ot Open Source project

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L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.

numerical-tours

Numerical Tours of Signal Processing

Jupyter Notebook

787

SinkhornAutoDiff

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Python

419

matlab-toolboxes

Contains all my Matlab toolboxes.

MATLAB

292

2015-SIGGRAPH-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

MATLAB

2016-ICML-gromov-wasserstein

Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.

MATLAB

2017-ot-beginners

Optimal Transport for Dummies - Code, slides and article

C++

2014-SISC-BregmanOT

J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Journal on Scientific Computing, 37(2), pp. A1111–A1138, 2015.

TeX

2014-JMIV-SlicedTransport

N. Bonneel, J. Rabin, G. Peyré, H. Pfister. Sliced and Radon Wasserstein Barycenters of Measures. Journal of Mathematical Imaging and Vision, 51(1), pp. 22–45, 2015.

MATLAB

2017-SIMA-super-resolution

Source code for the paper "Multi-dimensional Sparse Super-resolution"

MATLAB

2015-SIIMS-wasserstein-jko

Gabriel Peyré. Entropic Approximation of Wasserstein Gradient Flows. SIAM Journal on Imaging Sciences, 8(4), pp. 2323–2351, 2015

MATLAB

gpeyre.github.io

My homepage

JavaScript

2016-SIGGRAPH-gw

J. Solomon, G. Peyré, V. Kim, S. Sra. Entropic Metric Alignment for Correspondence Problems. ACM Transactions on Graphics (Proc. SIGGRAPH 2016), 35(4), pp. 72:1–72:13, 2016

TeX

2017-EJAM-quantum-ot

G. Peyré, L. Chizat, F-X. Vialard, J. Solomon, Quantum Optimal Transport for Tensor Field Processing, Arxiv, 2016

C++

2021-NonCvxPro

MATLAB

2013-SIIMS-ot-splitting

N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.

TeX

Orion3D

A 3D engine.

C++

2016-shannon-theory

G. Peyré, Claude Shannon et la compression des données, Images des Mathématiques, CNRS, 2016

Jupyter Notebook

2015-SIIMS-wasserstein-dual

M. Cuturi, G. Peyré. A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM Journal on Imaging Sciences, 9(1), pp. 320–343, 2016.

TeX

2013-SIIMS-gaussian-textures

G-S. Xia, S. Ferradans, G. Peyré, J-F. Aujol. Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM Journal on Imaging Sciences, 7(1), pp. 476–508, 2014.

TeX

2016-IP-tv-denoising

A. Chambolle, V. Duval, G. Peyré, C. Poon. Geometric properties of solutions to the total variation denoising problem. Preprint Arxiv:1602.00087, 2016.

TeX

2010-gears

Matlab code to generate non-circular gears.

MATLAB

2013-SIIMS-regularized-ot

S. Ferradans, N. Papadakis, G. Peyré, J-F. Aujol. Regularized Discrete Optimal Transport. SIAM Journal on Imaging Sciences, 7(3), pp. 1853–1882, 2014.

TeX

2009-CVIU-manifold

G. Peyré. Manifold models for signals and images. Computer Vision and Image Understanding, 113(2), pp. 249–260, 2009.

PostScript

2015-JMIV-texture-synthesis

G. Tartavel, Y. Gousseau, G. Peyré. Variational Texture Synthesis with Sparsity and Spectrum Constraints. Journal of Mathematical Imaging and Vision, 52(1), pp. 124–144, 2015.

TeX

2012-SIIMS-nl-ac

M. Jung, G. Peyré, L. D. Cohen. Nonlocal Active Contours. SIAM Journal on Imaging Sciences, 5(3), pp. 1022–1054, 2012.

MATLAB

2015-AOS-AdaptiveWigner

K. Lounici, K. Meziani, G. Peyré. Minimax and adaptive estimation of the Wigner function in quantum homodyne tomography with noisy data. Preprint Arxiv:1506.06941, 2015.

MATLAB

InfiniteZoom

Code to generate an infinite zoom animation.

MATLAB

2013-FOCM-SparseSpikes

V. Duval, G. Peyré. Exact Support Recovery for Sparse Spikes Deconvolution. Foundations of Computational Mathematics, 15(5), pp. 1315–1355, 2015.

TeX

2015-IP-lasso-cbp

V. Duval, G. Peyré. Sparse Spikes Deconvolution on Thin Grids. Preprint HAL:01135200, 2015

TeX

SuperResolvedLasso

Code for the paper "Super-resolved Lasso"

Jupyter Notebook

2017-SIOPT-stratification

Vincent Duval, Jalal Fadili, Jérôme Malick, Gabriel Peyré, Sensitivity Analysis for Mirror-Stratified Convex Functions, Preprint arxiv, 2016.

MATLAB

2013-IVC-formlets

J. Elder, T. Oleskiw, A. Yakubovich, G. Peyré. On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape. Image and Vision Computing, 31(1), pp. 1–13, 2013.

MATLAB

2014-NeuroMeth-barrels

L. Perronnet, M.E. Vilarchao, G. Hucher, D.E. Shulz, G. Peyré, I. Ferezou. An automated workflow for the anatomo-functional mapping of the barrel cortex. Journal of Neuroscience Methods, 263(1), pp. 145–154, 2016.

MATLAB

objectifagregation

Site web du livre "Objectif Agrégation"

2013-SIIMS-gfb

H. Raguet, J. Fadili, G. Peyré. A Generalized Forward-Backward Splitting. SIAM Journal on Imaging Sciences, 6(3), pp. 1199–1226, 2013.

TeX

2013-IFB-FinslerGradient

G. Nardi, G. Peyré, F-X. Vialard. Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics. SIAM Journal on Imaging Sciences, 9(1), pp. 238–274, 2016.

TeX

2010-LAA-numerical-cs

C. Dossal, G. Peyré, J. Fadili. A Numerical Exploration of Compressed Sampling Recovery. Linear Algebra and Applications, 432(7), pp. 1663–1679, 2010.

MATLAB

2011-SIIMS-tv-hilbert

P. Maurel, J-F. Aujol, G. Peyré. Locally Parallel Texture Modeling. SIAM Journal on Imaging Sciences, 4(1), pp. 413–447, 2011.

TeX

louispeyre

Web site of painter Louis Peyre

HTML

2011-ACHA-support-ident

C. Dossal, M.L. Chabanol, G. Peyré, J. Fadili. Sharp Support Recovery from Noisy Random Measurements by L1 minimization. Applied and Computational Harmonic Analysis, 33(1), pp. 24–43, 2012.

PostScript

2014-SIIMS-sugar

C. Deledalle, S. Vaiter, G. Peyré, J. Fadili. Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection. SIAM Journal on Imaging Sciences, 7(4), pp. 2448–2487, 2014.

MATLAB

2012-IP-stats-quantic

P. Alquier, K. Meziani, G. Peyré. Adaptive estimation of the density matrix in quantum homodyne tomography with noisy data. Inverse Problems, 29(7), pp. 075017, 2013.

TeX

2009-M3AN-cheeger

G. Carlier, M. Comte, G. Peyré. Approximation of Maximal Cheeger Sets by Projection. ESAIM: Mathematical Modelling and Numerical Analysis, 43(1), pp. 131–150, 2009.

PostScript

2010-Numerische-SubGrad

F. Benmansour, G. Carlier, G. Peyré, F. Santambrogio. Derivatives with Respect to Metrics and Applications: Subgradient Marching Algorithm. Numerische Mathematik, 116(3), pp. 357–381, 2010.

gpeyre/2017-MCOM-unbalanced-ot

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