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Papers



2017
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression
E. Ndiaye, O. Fercoq, A. Gramfort, V. Leclère, J. Salmon
, NCMIP, 2017.
[bib] | [pdf]
From safe screening rules to working sets for faster Lasso-type solvers
M. Massias, A. Gramfort, J. Salmon
, 2017.
[Python Code] | [bib] | [pdf]
Gap Safe screening rules for faster complex-valued multi-task group Lasso
M. Massias, A. Gramfort, J. Salmon
, SPARS, 2017.
[bib] |
Heteroscedastic Concomitant Lasso for sparse multimodal electromagnetic brain imaging
M. Massias, O. Fercoq, A. Gramfort, J. Salmon
, 2017.
[Python Code] | [bib] | [pdf]
Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence
C.-A. Deledalle, N. Papadakis, J. Salmon, S. Vaiter
, SPARS, 2017.
[bib] | [pdf]
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration
C.-A. Deledalle, N. Papadakis, J. Salmon, S. Vaiter
, SIAM J. Imaging Sci., vol.10, pp. 243-284, 2017.
[bib] | [pdf]
On the benefits of output sparsity for multi-label classification
E. Chzhen, C. Denis, M. Hebiri, J. Salmon
, 2017.
[bib] | [pdf]
Optimal two-step prediction in regression
D. Chételat, J. Lederer, J. Salmon
, Electron. J. Statist., vol.11, pp. 2519--2546, 2017.
[Python Code] | [bib] | [pdf]
Adapting to unknown noise level in sparse deconvolution
C. Boyer, Y. De Castro, J. Salmon
, Information and Inference, 2017.
[Demo Code] | [ZIP] | [bib] | [pdf]
A sharp oracle inequality for Graph-Slope
P. C. Bellec, J. Salmon, S. Vaiter
, 2017.
[Python Code] | [bib] | [pdf]

2016
Gap Safe screening rules for sparsity enforcing penalties
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon
, 2016.
[bib] | [pdf]
Gap Safe Screening Rules for Sparse-Group Lasso
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon
, NIPS, 2016.
[Code] | [bib] | [pdf]
Un algorithme de Gossip pour l'optimisation décentralisée de fonctions sur les paires
I. Colin, A. Bellet, J. Salmon, S. Clémençon
, CAP, 2016.
[bib] | [pdf]
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
I. Colin, A. Bellet, J. Salmon, S. Clémençon
, ICML, pp. 1388-1396, 2016.
[bib] | [pdf]

2015
GAP Safe screening rules for sparse multi-task and multi-class models
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon
, NIPS, pp. 811-819, 2015.
[bib] | [pdf]
Adaptive Multinomial Matrix Completion
O. Klopp, J. Lafond, E. Moulines, J. Salmon
, Electron. J. Statist., vol.9, pp. 2950-2975, 2015.
[pdf] | [bib] | [doi]
Règles de sélection de variables pour accélerer la localisation de sources en MEG et EEG sous contrainte de parcimonie
O. Fercoq, A. Gramfort, J. Salmon
, GRETSI, 2015.
[bib] | [pdf]
Mind the duality gap: safer rules for the Lasso
O. Fercoq, A. Gramfort, J. Salmon
, ICML, pp. 333-342, 2015.
[bib] | [pdf]
Contrast re-enhancement of Total-Variation regularization jointly with the Douglas-Rachford iterations
C.-A. Deledalle, N. Papadakis, J. Salmon
, SPARS, 2015.
[bib] | [pdf]
On debiasing restoration algorithms: applications to total-variation and nonlocal-means
C.-A. Deledalle, N. Papadakis, J. Salmon
, SSVM, pp. 129-141, 2015.
[bib] | [pdf]
Extending Gossip Algorithms to Distributed Estimation of U-Statistics
I. Colin, A. Bellet, J. Salmon, S. Clémençon
, NIPS, pp. 271-279, 2015.
[Code] | [bib] | [pdf]

2014
Poisson noise reduction with non-local PCA
J. Salmon, Z. T. Harmany, C.-A. Deledalle, R. Willett
, J. Math. Imaging Vis., vol.48, pp. 279-294, 2014.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Probabilistic Low-rank Matrix Completion on Finite Alphabet
J. Lafond, O. Klopp, E. Moulines, J. Salmon
, NIPS, pp. 1727-1735, 2014.
[ZIP] | [bib] | [pdf]
Mandatory Critical Points of 2D Uncertain Scalar Fields
D. Günther, J. Salmon, J. Tierny
, Comput. Graph. Forum, vol.33, pp. 31--40, 2014.
[video] | [bib] | [pdf]

2013
Reconstruction Stable par Régularisation Décomposable Analyse
J. Fadili, G. Peyré, S. Vaiter, C.-A. Deledalle, J. Salmon
, GRETSI, 2013.
[bib] | [pdf]
Stable Recovery with Analysis Decomposable Priors
J. Fadili, G. Peyré, S. Vaiter, C.-A. Deledalle, J. Salmon
, SampTA, 2013.
[bib] | [pdf]
Stable Recovery with Analysis Decomposable Priors
J. Fadili, G. Peyré, S. Vaiter, C.-A. Deledalle, J. Salmon
, SPARS, 2013.
[bib] | [pdf]
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
A. S. Dalalyan, M. Hebiri, K. Meziani, J. Salmon
, ICML, pp. 379-387, 2013.
[bib] | [pdf]

2012
A two-stage denoising filter: the preprocessed Yaroslavsky filter
J. Salmon, R. Willett, E. Arias-Castro
, SSP, pp. 464-467, 2012.
[Demo Matlab] | ZIP | [bib] | [pdf]
Patch Reprojections for Non Local Methods
J. Salmon, Y. Strozecki
, Signal Processing, vol.92, pp. 477 - 489, 2012.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Poisson Noise Reduction with Non-Local PCA
J. Salmon, C.-A. Deledalle, R. Willett, Z. T. Harmany
, ICASPP, pp. 1109-1112, 2012.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Non-local Methods with Shape-Adaptive Patches (NLM-SAP)
C.-A. Deledalle, V. Duval, J. Salmon
, J. Math. Imaging Vis., vol.43, pp. 103-120, 2012.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Sharp Oracle Inequalities for Aggregation of Affine Estimators
A. S. Dalalyan, J. Salmon
, Ann. Statist., vol.40, pp. 2327-2355, 2012.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods
E. Arias-Castro, J. Salmon, R. Willett
, SIAM J. Imaging Sci., vol.5, pp. 944-992, 2012.
[bib] | [pdf]

2011
Optimal aggregation of affine estimators
J. Salmon, A. S. Dalalyan
, COLT, pp. 635-660, 2011.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Image denoising with patch based PCA: local versus global
C.-A. Deledalle, J. Salmon, A. S. Dalalyan
, BMVC, pp. 1-10, 2011.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Anisotropic Non-Local Means with Spatially Adaptive Shapes
C.-A. Deledalle, V. Duval, J. Salmon
, SSVM, pp. 129-141, 2011.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
Competing against the best nearest neighbor filter in regression
A. S. Dalalyan, J. Salmon
, ALT, pp. 129-143, 2011.
[bib] | [pdf]

2010
From Patches to Pixels in Non-Local methods: Weighted-Average Reprojection
J. Salmon, Y. Strozecki
, ICIP, pp. 1929-1932, 2010.
[Demo Matlab] | [ZIP] | [bib] | [pdf]
On two parameters for denoising with Non-Local Means
J. Salmon
, IEEE Signal Process. Lett., vol.17, pp. 269-272, 2010.
[bib] | [pdf]
Agrégation d'estimateurs et méthodes à patchpour le débruitage d'images numériques
J. Salmon
, 2010.
[bib] | [pdf]

2009
An aggregator point of view on NL-Means
J. Salmon, E. Le Pennec
, SPIE, vol.7446, pp. 74461E, 2009.
[bib] |
NL-Means and aggregation procedures
J. Salmon, E. Le Pennec
, ICIP, pp. 2977-2980, 2009.
[bib] | [pdf]

2007
Ondelettes et modèle Bayesien
J. Salmon
, 2007.
[bib] |
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