Yann Traonmilin

42 papers B 1Misc 2Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the impact of the parametrization of deep convolutional neural networks on post-training quantization. Trans. Mach. Learn. Res. Samy Houache, Jean-François Aujol, Yann Traonmilin
2025	J	`jnl`	A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm. CoRR Oscar Leong, Yann Traonmilin
2025	J	`jnl`	From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent. CoRR Ali Joundi, Yann Traonmilin, Jean-François Aujol
2025	J	`jnl`	Joint Structure-Texture Low-Dimensional Modeling for Image Decomposition with a Plug-and-Play Framework. SIAM J. Imaging Sci. Antoine Guennec, Jean-François Aujol, Yann Traonmilin
2025	—	`conf`	Max-Sparsity Atomic Autoencoders with Application to Inverse Problems. SSVM (1) Ali Joundi, Yann Traonmilin, Alasdair Newson
2025	J	`jnl`	On the impact of the parametrization of deep convolutional neural networks on post-training quantization. CoRR Samy Houache, Jean-François Aujol, Yann Traonmilin
2025	—	`conf`	Parameter-Free Structure-Texture Image Decomposition by Unrolling. SSVM (1) Laura Girometti, Jean-François Aujol, Antoine Guennec, Yann Traonmilin
2025	J	`jnl`	Parameter-free structure-texture image decomposition by unrolling. CoRR Laura Girometti, Jean-François Aujol, Antoine Guennec, Yann Traonmilin
2025	J	`jnl`	Sketched Over-Parametrized Projected Gradient Descent for Sparse Spike Estimation. IEEE Signal Process. Lett. Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2025	J	`jnl`	Stochastic Orthogonal Regularization for deep projective priors. CoRR Ali Joundi, Yann Traonmilin, Alasdair Newson
2024	—	`conf`	Adaptive Parameter Selection for Gradient-Sparse Plus Low Patch-Rank Recovery: Application to Image Decomposition. EUSIPCO Antoine Guennec, Jean-François Aujol, Yann Traonmilin
2024	J	`jnl`	Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising. J. Math. Imaging Vis. Hui Shi, Yann Traonmilin, Jean-François Aujol
2024	J	`jnl`	On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. J. Math. Imaging Vis. Yann Traonmilin, Jean-François Aujol, Pierre-Jean Bénard, Arthur Leclaire
2024	—	`conf`	Projected Block Coordinate Descent for Sparse Spike Estimation. EUSIPCO Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2024	J	`jnl`	Projected Block Coordinate Descent for sparse spike estimation. CoRR Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2023	J	`jnl`	Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising. CoRR Hui Shi, Yann Traonmilin, Jean-François Aujol
2023	—	`conf`	Compressive Learning of Deep Regularization for Denoising. SSVM Hui Shi, Yann Traonmilin, Jean-François Aujol
2022	J	`jnl`	Compressive Learning for Patch-Based Image Denoising. SIAM J. Imaging Sci. Hui Shi, Yann Traonmilin, Jean-François Aujol
2022	—	`conf`	Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. EUSIPCO Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2022	—	`conf`	Piecewise linear prediction model for action tracking in sports. EUSIPCO Axel Baldanza, Jean-François Aujol, Yann Traonmilin, François Alary
2021	—	`conf`	Sketched Learning for Image Denoising. SSVM Hui Shi, Yann Traonmilin, Jean-François Aujol
2021	—	`book`	Sur la performance des méthodes convexes et non-convexes de reconstruction de modèles de faible dimension en science des données. Yann Traonmilin
2020	J	`jnl`	An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. CoRR Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
2020	J	`jnl`	Projected Gradient Descent for Non-Convex Sparse Spike Estimation. IEEE Signal Process. Lett. Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
2020	J	`jnl`	Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. CoRR Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
2020	J	`jnl`	The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. CoRR Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
2018	J	`jnl`	Is the 1-norm the best convex sparse regularization? CoRR Yann Traonmilin, Samuel Vaiter, Rémi Gribonval
2018	J	`jnl`	Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations. CoRR Yann Traonmilin, Samuel Vaiter
2018	J	`jnl`	The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. CoRR Yann Traonmilin, Jean-François Aujol
2017	J	`jnl`	Compressed sensing in Hilbert spaces. CoRR Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
2017	Misc	`conf`	Compressive K-means. ICASSP Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
2017	J	`jnl`	Compressive Statistical Learning with Random Feature Moments. CoRR Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
2017	Misc	`conf`	Phase unmixing: Multichannel source separation with magnitude constraints. ICASSP Antoine Deleforge, Yann Traonmilin
2016	B	`conf`	A framework for low-complexity signal recovery and its application to structured sparsity. ITW Yann Traonmilin, Rémi Gribonval
2016	J	`jnl`	Compressive K-means. CoRR Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
2016	J	`jnl`	Phase Unmixing : Multichannel Source Separation with Magnitude Constraints. CoRR Antoine Deleforge, Yann Traonmilin
2015	J	`jnl`	Robust Multi-image Processing with Optimal Sparse Regularization. J. Math. Imaging Vis. Yann Traonmilin, Saïd Ladjal, Andrés Almansa
2015	J	`jnl`	Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all. CoRR Yann Traonmilin, Rémi Gribonval
2014	—	`—`	Relations entre le modèle d'image et le nombre de mesures pour une super-résolution fidèle. (Relations between image model and number of measures for a high fidelity super-resolution). Yann Traonmilin
2014	J	`jnl`	Simultaneous High Dynamic Range and Superresolution Imaging without Regularization. SIAM J. Imaging Sci. Yann Traonmilin, Cecilia Aguerrebere
2013	—	`conf`	Outlier Removal Power of the L1-Norm Super-Resolution. SSVM Yann Traonmilin, Saïd Ladjal, Andrés Almansa
2012	—	`conf`	On the amount of regularization for super-resolution interpolation. EUSIPCO Yann Traonmilin, Saïd Ladjal, Andrés Almansa