Yann Traonmilin

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 23

Top Venues

CoRR

J. Math. Imaging Vis.

SSVM

ICASSP

Télécom ParisTech, France (PHD)

Education History

Télécom ParisTech, France

PHD

Publications

Hui Shi, Yann Traonmilin, Jean-François Aujol
Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising. J. Math. Imaging Vis. 66 (4) (2024)
Yann Traonmilin, Jean-François Aujol, Pierre-Jean Bénard, Arthur Leclaire
On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. J. Math. Imaging Vis. 66 (1) (2024)
Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
Projected Block Coordinate Descent for sparse spike estimation. CoRR (2024)
Hui Shi, Yann Traonmilin, Jean-François Aujol
Compressive Learning of Deep Regularization for Denoising. SSVM (2023)
Hui Shi, Yann Traonmilin, Jean-François Aujol
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising. CoRR (2023)
Axel Baldanza, Jean-François Aujol, Yann Traonmilin, François Alary
Piecewise linear prediction model for action tracking in sports. EUSIPCO (2022)
Hui Shi, Yann Traonmilin, Jean-François Aujol
Compressive Learning for Patch-Based Image Denoising. SIAM J. Imaging Sci. 15 (3) (2022)
Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. EUSIPCO (2022)
Hui Shi, Yann Traonmilin, Jean-François Aujol
Sketched Learning for Image Denoising. SSVM (2021)
Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
Projected Gradient Descent for Non-Convex Sparse Spike Estimation. IEEE Signal Process. Lett. 27 (2020)
Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. CoRR (2020)
Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. CoRR (2020)
Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. CoRR (2020)
Yann Traonmilin, Samuel Vaiter, Rémi Gribonval
Is the 1-norm the best convex sparse regularization? CoRR (2018)
Yann Traonmilin, Samuel Vaiter
Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations. CoRR (2018)
Yann Traonmilin, Jean-François Aujol
The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. CoRR (2018)
Antoine Deleforge, Yann Traonmilin
Phase unmixing: Multichannel source separation with magnitude constraints. ICASSP (2017)
Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
Compressed sensing in Hilbert spaces. CoRR (2017)
Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
Compressive K-means. ICASSP (2017)
Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
Compressive Statistical Learning with Random Feature Moments. CoRR (2017)
Yann Traonmilin, Rémi Gribonval
A framework for low-complexity signal recovery and its application to structured sparsity. ITW (2016)
Antoine Deleforge, Yann Traonmilin
Phase Unmixing : Multichannel Source Separation with Magnitude Constraints. CoRR (2016)
Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
Compressive K-means. CoRR (2016)
Yann Traonmilin, Rémi Gribonval
Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all. CoRR (2015)
Yann Traonmilin, Saïd Ladjal, Andrés Almansa
Robust Multi-image Processing with Optimal Sparse Regularization. J. Math. Imaging Vis. 51 (3) (2015)
Yann Traonmilin, Cecilia Aguerrebere
Simultaneous High Dynamic Range and Superresolution Imaging without Regularization. SIAM J. Imaging Sci. 7 (3) (2014)
Yann Traonmilin, Saïd Ladjal, Andrés Almansa
Outlier Removal Power of the L1-Norm Super-Resolution. SSVM (2013)
Yann Traonmilin, Saïd Ladjal, Andrés Almansa
On the amount of regularization for super-resolution interpolation. EUSIPCO (2012)

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Publication Activity (10 Years)

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Yann Traonmilin