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Traonmilin, Yann
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1

Estimation of off-the grid sparse spikes with over-parametr..:

Bénard, Pierre-Jean ; Traonmilin, Yann ; Aujol, Jean-François.
Inverse Problems.  40 (2024)  5 - p. 055010 , 2024
Link: https://doi.org/10.1088/..
 
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2

Batch-Less Stochastic Gradient Descent for Compressive Lear..:

Shi, Hui ; Traonmilin, Yann ; Aujol, Jean-François
Journal of Mathematical Imaging and Vision.  , 2024
Link: https://doi.org/10.1007/..
 
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3

A theory of optimal convex regularization for low-dimension..:

Traonmilin, Yann ; Gribonval, Rémi ; Vaiter, Samuel
Information and Inference: A Journal of the IMA.  13 (2024)  2 - p. , 2024
Link: https://doi.org/10.1093/..
 
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4

Disentangled latent representations of images with atomic a..:

, In: 2023 International Conference on Sampling Theory and Applications (SampTA),
Newson, Alasdair ; Traonmilin, Yann - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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5

Compressive Learning of Deep Regularization for Denoising:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Shi, Hui ; Traonmilin, Yann ; Aujol, Jean-François - p. 162-174 , 2023
Link: https://doi.org/10.1007/..
 
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6

On Strong Basins of Attractions for Non-convex Sparse Spike..:

Traonmilin, Yann ; Aujol, Jean-François ; Bénard, Pierre-Jean.
Journal of Mathematical Imaging and Vision.  , 2023
Link: https://doi.org/10.1007/..
 
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7

The basins of attraction of the global minimizers of non-co..:

Traonmilin, Yann ; Aujol, Jean-François ; Leclaire, Arthur
Information and Inference: A Journal of the IMA.  12 (2022)  1 - p. 113-156 , 2022
Link: https://doi.org/10.1093/..
 
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8

Piecewise linear prediction model for action tracking in sp..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
Baldanza, Axel ; Aujol, Jean-Francois ; Traonmilin, Yann. - p. 518-522 , 2022
Link: https://doi.org/10.23919..
 
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9

Compressive Learning for Patch-Based Image Denoising:

Shi, Hui ; Traonmilin, Yann ; Aujol, Jean-Francois
SIAM Journal on Imaging Sciences.  15 (2022)  3 - p. 1184-1212 , 2022
Link: https://doi.org/10.1137/..
 
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10

Fast off-the-grid sparse recovery with over-parametrized pr..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
Benard, Pierre-Jean ; Traonmilin, Yann ; Aujol, Jean-Francois - p. 2206-2210 , 2022
Link: https://doi.org/10.23919..
 
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11

Compressive statistical learning with random feature moment:

Gribonval, Rémi ; Blanchard, Gilles ; Keriven, Nicolas.
Mathematical Statistics and Learning.  3 (2021)  2 - p. 113-164 , 2021
Link: https://doi.org/10.4171/..
 
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12

Sketched Learning for Image Denoising:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Shi, Hui ; Traonmilin, Yann ; Aujol, Jean-François - p. 281-293 , 2021
Link: https://doi.org/10.1007/..
 
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13

Statistical learning guarantees for compressive clustering ..:

Gribonval, Rémi ; Blanchard, Gilles ; Keriven, Nicolas.
Mathematical Statistics and Learning.  3 (2021)  2 - p. 165-257 , 2021
Link: https://doi.org/10.4171/..
 
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14

Optimality of 1-norm regularization among weighted 1-norms ..:

Traonmilin, Yann ; Vaiter, Samuel
Journal of Physics: Conference Series.  1131 (2018)  - p. 012009 , 2018
Link: https://doi.org/10.1088/..
 
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15

Stable recovery of low-dimensional cones in Hilbert spaces:..:

Traonmilin, Yann ; Gribonval, Rémi
Applied and Computational Harmonic Analysis.  45 (2018)  1 - p. 170-205 , 2018
Link: https://doi.org/10.1016/..
 
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