Stéphane Chrétien

Orcid: 0000-0002-4544-1315

According to our database1, Stéphane Chrétien authored at least 57 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A mixture of experts regression model for functional response with functional covariates.
Stat. Comput., October, 2024

Time topological analysis of EEG using signature theory.
CoRR, 2024

Registration of algebraic varieties using Riemannian optimization.
CoRR, 2024

Computing the Shortest Vector in a Lattice Using the Alternating Direction Method of Multipliers.
Proceedings of the Intelligent Computing, 2024

2023
Using data science to predict firemen interventions: a case study.
J. Supercomput., May, 2023

Convergence and scaling of Boolean-weight optimization for hardware reservoirs.
CoRR, 2023

Amélioration de l'architecture GAT par la prise en compte de la courbure des arêtes du graphe.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Leveraging the Power of Signatures for the Construction of Topological Complexes for the Analysis of Multivariate Complex Dynamics.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Special Issue on Safe and Reliable AI for Smart Sustainable Cities.
Symmetry, 2022

Low tubal rank tensor recovery using the Bürer-Monteiro factorisation approach. Application to optical coherence tomography.
J. Comput. Appl. Math., 2022

2021
Ant Colony-Based Hyperparameter Optimisation in Total Variation Reconstruction in X-ray Computed Tomography.
Sensors, 2021

Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature.
J. Mach. Learn. Res., 2021

Signature Estimation and Signal Recovery Using Median of Means.
Proceedings of the Geometric Science of Information - 6th International Conference, 2021

Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

The Quantile Matching Problem and Point Cloud Registration.
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

2020
A finite sample analysis of the double descent phenomenon for ridge function estimation.
CoRR, 2020

Boolean learning under noise-perturbations in hardware neural networks.
CoRR, 2020

Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Is spectral clustering mode preserving ?
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
Introducing and Comparing Recent Clustering Methods for Massive Data Management in the Internet of Things.
J. Sens. Actuator Networks, 2019

Corrigendum to "A note on computing the Smallest Conic Singular Value" [J. Comput. Appl. Math. 340 (2018) 221-230].
J. Comput. Appl. Math., 2019

The Guedon-Vershynin Semi-definite Programming Approach to Low Dimensional Embedding for Unsupervised Clustering.
Frontiers Appl. Math. Stat., 2019

SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences.
Comput. Biol. Medicine, 2019

Incoherent Submatrix Selection via Approximate Independence Sets in Scalar Product Graphs.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

A Penalized Autoencoder Approach for Nonlinear Independent Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A note on computing the smallest conic singular value.
J. Comput. Appl. Math., 2018

Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method.
CoRR, 2018

A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.
Comput. Biol. Medicine, 2018

l1-Penalised Ordinal Polytomous Regression Estimators with Application to Gene Expression Studies.
Proceedings of the 18th International Workshop on Algorithms in Bioinformatics, 2018

Average Performance Analysis of the Stochastic Gradient Method for Online PCA.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Online Shortest Paths With Confidence Intervals for Routing in a Time Varying Random Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Feature Selection in Weakly Coherent Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Sensing Tensors With Gaussian Filters.
IEEE Trans. Inf. Theory, 2017

Enhancing Prony's method by nuclear norm penalization and extension to missing data.
Signal Image Video Process., 2017

Systematic investigations of gene effects on both topologies and supports: An <i>Echinococcus</i> illustration.
J. Bioinform. Comput. Biol., 2017

Post-Prognostics Decision for Optimizing the Commitment of Fuel Cell Systems.
CoRR, 2017

Simulation-based estimation of branching models for LTR retrotransposons.
Bioinform., 2017

An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Finding optimal finite biological sequences over finite alphabets: The OptiFin toolbox.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Validation of Algorithms to Estimate Distribution Network Characteristics Using Power-Hardware-in-the-Loop Configuration.
Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems, 2017

2016
A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering.
CoRR, 2016

A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysis.
BMC Bioinform., 2016

Total Variation Minimization for Compressed Sensing with "Smoothly" Varying Covariates.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

2015
Using a sparse promoting method in linear programming approximations to schedule parallel jobs.
Concurr. Comput. Pract. Exp., 2015

A post-prognostics decision approach to optimize the commitment of fuel cell systems in stationary applications.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

Convex Recovery of Tensors Using Nuclear Norm Penalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Investigating gene expression array with outliers and missing data in bladder cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Sparse Recovery With Unknown Variance: A LASSO-Type Approach.
IEEE Trans. Inf. Theory, 2014

Multivariate GARCH estimation via a Bregman-proximal trust-region method.
Comput. Stat. Data Anal., 2014

2012
Job Scheduling Using Successive Linear Programming Approximations of a Sparse Model.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2010
An Alternating l<sub>1</sub> Approach to the Compressed Sensing Problem.
IEEE Signal Process. Lett., 2010

Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data.
Comput. Stat. Data Anal., 2010

2009
Using the eigenvalue relaxation for binary least-squares estimation problems.
Signal Process., 2009

2002
Least Squares Reconstruction of Binary Images using Eigenvalue Optimization.
Proceedings of the COMPSTAT 2002, 2002

2000
Kullback proximal algorithims for maximum-likelihood estimation.
IEEE Trans. Inf. Theory, 2000

1995
Successive projections-like algorithms for signal approximation/zero-error modelling.
Proceedings of the 1995 International Conference on Acoustics, 1995


  Loading...