for reproductible research

You can find below Matlab code to reproduce the figures of some of my articles. All the code are hosted on my Github page, and you can retrieve them either as .zip file or as a git repository. You can find a lot of material for eduction on the Numerical Tours web site.

  • Gromov-Wasserstein Averaging of Kernel and Distance Matrices (Gabriel Peyré, Marco Cuturi, Justin Solomon) [Article|Code]
  • Basics of Shannon entropic coding theory (G. Peyré) [Article|Code]
  • Geometric properties of solutions to the total variation denoising problem (A. Chambolle, V. Duval, G. Peyré, C. Poon) [Article|Code]
  • A Smoothed Dual Approach for Variational Wasserstein Problems (M. Cuturi, G. Peyré.) [Article|Code]
  • Exact Support Recovery for Sparse Spikes Deconvolution (V. Duval and G. Peyré) [Article|Code]
  • An automated workflow for the anatomo-functional mapping of the barrel cortex (L. Perronnet, E. Vilarchao, G. Hucher, D. Shulz, G. Peyré, I. Ferezou) [Article|Code]
  • Sparse Spikes Deconvolution on Thin Grids (V. Duval and G. Peyré) [Article|Code]
  • Minimax and adaptive estimation of the Wigner function in quantum homodyne tomography with noisy data (Karim Lounici, Katia Meziani, Gabriel Peyré) [Article|Code]
  • Convolutional Wasserstein Distances (J. Solomon, F. de Goes, G. Peyré and M. Cuturi) [Article|Code]
  • Entropic Wasserstein Gradient Flows (G. Peyré) [Article|Code]
  • Iterative Bregman Projections for Regularized Transportation Problems (J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré) [Article|Code]
  • Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection (C. Deledalle, S. Vaiter, G. Peyré, J. Fadili) [Article|Code]
  • Variational Texture Synthesis with Sparsity and Spectrum Constraints (G. Tartavel, Y. Gousseau and G. Peyre) [Article|Code]
  • Sliced and Radon Wasserstein Barycenters of Measures (N. Bonneel, J. Rabin, G. Peyre, H. Pfister) [Article|Code]
  • Finsler Steepest Descent with Applications to Piecewise-regular Curve Evolution (G. Charpiat, G. Nardi, G. Peyre, F-X. Vialard) [Article|Code]
  • Regularized Discrete Optimal Transport (S. Ferradans, N. Papadakis, G. Peyre, J-F. Aujol) [Article|Code]
  • Synthesizing and Mixing Stationary Gaussian Texture Models (G-S. Xia, S. Ferradans, G. Peyre, J-F. Aujol) [Article|Code]
  • Optimal Transport with Proximal Splitting (N. Papadakis, G. Peyre, E. Oudet) [Article|Code]
  • Adaptive estimation of the density matrix in quantum homodyne tomography with noisy data (P. Alquier, K.Meziani, G.Peyre) [Article|Code]
  • Non-local Active Contours (M. Jung, G. Peyre, L. Cohen) [Article|Code]
  • Approximation of Maximal Cheeger Sets by Projection (G. Carlier, M. Comte, G. Peyre) [Article|Code]
  • Derivatives with Respect to Metrics and Applications, Subgradient Marching Algorithm (F. Benmansour, G. Carlier, G. Peyre, F. Santambrogio) [Article|Code]
  • A Numerical Exploration of Compressed Sampling Recovery (C. Dossal, G. Peyre, J. Fadili) [Article|Code]
  • Total Variation Projection with First Order Schemes (J. Fadili, G. Peyre) [Article|Code]
  • Sharp Support Recovery from Noisy Random Measurements by L1 minimization (C. Dossal, M.L. Chabanol, G. Peyre, J. Fadili) [Article|Code]
  • Locally Parallel Texture Modeling (P. Maurel, J.F. Aujol, G. Peyre) [Article|Code]
  • Compressive Wave Computation (L. Demanet and G. Peyre) [Article|Code]