François Malgouyres

Orcid: 0000-0002-1213-858X

According to our database1, François Malgouyres authored at least 38 papers between 1998 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis.
J. Mach. Learn. Res., 2024

Geometry-induced Implicit Regularization in Deep ReLU Neural Networks.
CoRR, 2024

Quantized Approximately Orthogonal Recurrent Neural Networks.
CoRR, 2024

Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Parameter identifiability of a deep feedforward ReLU neural network.
Mach. Learn., November, 2023

Support Exploration Algorithm for Sparse Support Recovery.
CoRR, 2023

2022
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks.
J. Mach. Learn. Res., 2022

A general approximation lower bound in L<sup>p</sup> norm, with applications to feed-forward neural networks.
CoRR, 2022

Local Identifiability of Deep ReLU Neural Networks: the Theory.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Overestimation Learning with Guarantees.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020
Multilayer Joint Segmentation Using MRF and Graph Cuts.
J. Math. Imaging Vis., 2020

On the stable recovery of deep structured linear networks under sparsity constraints.
Proceedings of Mathematical and Scientific Machine Learning, 2020

Learning Optimal Shape Representations for Multi-Modal Image Registration.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Multilinear Compressive Sensing and an Application to Convolutional Linear Networks.
SIAM J. Math. Data Sci., 2019

Loss functions for denoising compressed images: a comparative study.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Regularized multi-label fast marching and application to whole-body image segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Regularized Non-local Total Variation and Application in Image Restoration.
J. Math. Imaging Vis., 2017

Stable recovery of the factors from a deep matrix product and application to convolutional networks. Focus on sparsity constraints.
CoRR, 2017

2016
On the identifiability and stable recovery of deep/multi-layer structured matrix factorization.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

2015
Toward Fast Transform Learning.
Int. J. Comput. Vis., 2015

2014
A reduction method for graph cut optimization.
Pattern Anal. Appl., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

Numerical study of an optimization problem for mosaic active imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain
CoRR, 2013

Spatially Varying Blur Recovery - Diagonal Approximations in the Wavelet Domain.
Proceedings of the ICPRAM 2013, 2013

2012
Simultaneous Segmentation and Filtering via Reduced Graph Cuts.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2012

2011
Matching pursuit shrinkage in Hilbert spaces.
Signal Process., 2011

Reduced graphs for min-cut/max-flow approaches in image segmentation.
Electron. Notes Discret. Math., 2011

2010
Reducing graphs in graph cut segmentation.
Proceedings of the International Conference on Image Processing, 2010

2009
A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model.
Int. J. Comput. Vis., 2009

2007
Rank related properties for Basis Pursuit and total variation regularization.
Signal Process., 2007

Image Compression Through a Projection onto a Polyhedral Set.
J. Math. Imaging Vis., 2007

2006
Using Gabor Dictionaries in A TV - L<sup>∞</sup>Model, for Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2002
Minimizing the total variation under a general convex constraint for image restoration.
IEEE Trans. Image Process., 2002

2001
Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis.
SIAM J. Numer. Anal., 2001

Total Variation Based Oversampling of Noisy Images.
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

1998
Total variation based interpolation.
Proceedings of the 9th European Signal Processing Conference, 1998


  Loading...