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François Malgouyres
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2020 – today
- 2024
- [j15]El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz:
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis. J. Mach. Learn. Res. 25: 242:1-242:76 (2024) - [c16]Mimoun Mohamed, François Malgouyres, Valentin Emiya, Caroline Chaux:
Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm. ICML 2024 - [i11]Armand Foucault, Franck Mamalet, François Malgouyres:
Quantized Approximately Orthogonal Recurrent Neural Networks. CoRR abs/2402.04012 (2024) - [i10]Joachim Bona-Pellissier, François Malgouyres, François Bachoc:
Geometry-induced Implicit Regularization in Deep ReLU Neural Networks. CoRR abs/2402.08269 (2024) - 2023
- [j14]Joachim Bona-Pellissier
, François Bachoc, François Malgouyres:
Parameter identifiability of a deep feedforward ReLU neural network. Mach. Learn. 112(11): 4431-4493 (2023) - [i9]Mimoun Mohamed, François Malgouyres, Valentin Emiya, Caroline Chaux:
Support Exploration Algorithm for Sparse Support Recovery. CoRR abs/2301.13584 (2023) - 2022
- [j13]El Mehdi Achour, François Malgouyres, Franck Mamalet:
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. J. Mach. Learn. Res. 23: 347:1-347:56 (2022) - [c15]El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres:
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks. NeurIPS 2022 - [c14]Joachim Bona-Pellissier, François Malgouyres, François Bachoc:
Local Identifiability of Deep ReLU Neural Networks: the Theory. NeurIPS 2022 - [i8]El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres:
A general approximation lower bound in Lp norm, with applications to feed-forward neural networks. CoRR abs/2206.04360 (2022) - 2021
- [c13]Adrien Gauffriau, François Malgouyres, Mélanie Ducoffe:
Overestimation Learning with Guarantees. SafeAI@AAAI 2021 - [i7]Adrien Gauffriau, François Malgouyres
Overestimation learning with guarantees. CoRR abs/2101.11717 (2021) - [i6]El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz:
The loss landscape of deep linear neural networks: a second-order analysis. CoRR abs/2107.13289 (2021) - [i5]El Mehdi Achour, François Malgouyres, Franck Mamalet:
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. CoRR abs/2108.05623 (2021) - 2020
- [j12]Nicolas Lermé
Multilayer Joint Segmentation Using MRF and Graph Cuts. J. Math. Imaging Vis. 62(6-7): 961-981 (2020) - [c12]Éloïse Grossiord, Laurent Risser, Salim Kanoun, Soléakhéna Ken, François Malgouyres:
Learning Optimal Shape Representations for Multi-Modal Image Registration. ISBI 2020: 722-725 - [c11]François Malgouyres:
On the stable recovery of deep structured linear networks under sparsity constraints. MSML 2020: 107-127
2010 – 2019
- 2019
- [j11]François Malgouyres
Multilinear Compressive Sensing and an Application to Convolutional Linear Networks. SIAM J. Math. Data Sci. 1(3): 446-475 (2019) - [c10]Thomas Oberlin, François Malgouyres, Jin-Yi Wu:
Loss functions for denoising compressed images: a comparative study. EUSIPCO 2019: 1-5 - 2018
- [c9]Laurent Risser, Soléakhéna Ken
Regularized multi-label fast marching and application to whole-body image segmentation. ISBI 2018: 1323-1326 - 2017
- [j10]Zhi Li, François Malgouyres
Regularized Non-local Total Variation and Application in Image Restoration. J. Math. Imaging Vis. 59(2): 296-317 (2017) - [i4]François Malgouyres, Joseph Landsberg:
Multilinear compressive sensing and an application to convolutional linear networks. CoRR abs/1703.08044 (2017) - [i3]François Malgouyres
Stable recovery of the factors from a deep matrix product and application to convolutional networks. Focus on sparsity constraints. CoRR abs/1706.00342 (2017) - 2016
- [c8]François Malgouyres, Joseph Landsberg:
On the identifiability and stable recovery of deep/multi-layer structured matrix factorization. ITW 2016: 315-319 - 2015
- [j9]Olivier Chabiron, François Malgouyres
Toward Fast Transform Learning. Int. J. Comput. Vis. 114(2-3): 195-216 (2015) - 2014
- [j8]Nicolas Lermé, François Malgouyres
A reduction method for graph cut optimization. Pattern Anal. Appl. 17(2): 361-378 (2014) - [c7]Nicolas Lermé, François Malgouyres
Numerical study of an optimization problem for mosaic active imaging. ICIP 2014: 1723-1727 - [i2]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [c6]Paul Escande, Pierre Weiss, François Malgouyres:
Spatially Varying Blur Recovery - Diagonal Approximations in the Wavelet Domain. ICPRAM 2013: 222-228 - [i1]Paul Escande
Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain. CoRR abs/1302.6105 (2013) - 2012
- [c5]Nicolas Lermé, François Malgouyres
Simultaneous Segmentation and Filtering via Reduced Graph Cuts. ACIVS 2012: 201-212 - 2011
- [j7]Nicolas Lermé, Lucas Létocart, François Malgouyres:
Reduced graphs for min-cut/max-flow approaches in image segmentation. Electron. Notes Discret. Math. 37: 63-68 (2011) - [j6]Tieyong Zeng
Matching pursuit shrinkage in Hilbert spaces. Signal Process. 91(12): 2754-2766 (2011) - 2010
- [c4]Nicolas Lermé, François Malgouyres, Lucas Létocart:
Reducing graphs in graph cut segmentation. ICIP 2010: 3045-3048
2000 – 2009
- 2009
- [j5]François Malgouyres, Tieyong Zeng
A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model. Int. J. Comput. Vis. 83(3): 294-311 (2009) - 2007
- [j4]François Malgouyres
Image Compression Through a Projection onto a Polyhedral Set. J. Math. Imaging Vis. 27(2): 193-200 (2007) - [j3]François Malgouyres:
Rank related properties for Basis Pursuit and total variation regularization. Signal Process. 87(11): 2695-2707 (2007) - 2006
- [c3]Tieyong Zeng, François Malgouyres:
Using Gabor Dictionaries in A TV - L∞Model, for Denoising. ICASSP (2) 2006: 865-868 - 2002
- [j2]François Malgouyres:
Minimizing the total variation under a general convex constraint for image restoration. IEEE Trans. Image Process. 11(12): 1450-1456 (2002) - 2001
- [j1]François Malgouyres, Frédéric Guichard:
Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis. SIAM J. Numer. Anal. 39(1): 1-37 (2001) - [c2]François Malgouyres:
Total Variation Based Oversampling of Noisy Images. Scale-Space 2001: 111-122
1990 – 1999
- 1998
- [c1]Frédéric Guichard, François Malgouyres:
Total variation based interpolation. EUSIPCO 1998: 1-4
Coauthor Index
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