Successive projections-like algorithms for signal approximation/zero-error modelling. - Stéphane Chrétien; Ioannis Dologlou (ICASSP, 1995)

Kullback proximal algorithims for maximum-likelihood estimation. - Stéphane Chrétien; Alfred O. Hero III (IEEE Trans. Inf. Theory, 2000)

Least Squares Reconstruction of Binary Images using Eigenvalue Optimization. - Stéphane Chrétien; Franck Corset (COMPSTAT, 2002)

Using the eigenvalue relaxation for binary least-squares estimation problems. - Stéphane Chrétien; Franck Corset (Signal Process., 2009)

Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data. - David R. J. Pleydell; Stéphane Chrétien (Comput. Stat. Data Anal., 2010)

An Alternating l1 Approach to the Compressed Sensing Problem. - Stéphane Chrétien (IEEE Signal Process. Lett., 2010)

Job Scheduling Using Successive Linear Programming Approximations of a Sparse Model. - Stéphane Chrétien; Jean-Marc Nicod; Laurent Philippe 001; Veronika Rehn-Sonigo; Lamiel Toch (Euro-Par, 2012)

Multivariate GARCH estimation via a Bregman-proximal trust-region method. - Stéphane Chrétien; Juan-Pablo Ortega (Comput. Stat. Data Anal., 2014)

Sparse Recovery With Unknown Variance: A LASSO-Type Approach. - Stéphane Chrétien; Sébastien Darses (IEEE Trans. Inf. Theory, 2014)

Investigating gene expression array with outliers and missing data in bladder cancer. - Stéphane Chrétien; Christophe Guyeux; Michael Boyer-Guittaut; Régis Delage-Mouroux; Françoise Descôtes (BIBM, 2015)

Convex Recovery of Tensors Using Nuclear Norm Penalization. - Stéphane Chrétien; Tianwen Wei (LVA/ICA, 2015)

A post-prognostics decision approach to optimize the commitment of fuel cell systems in stationary applications. - Stéphane Chrétien; Nathalie Herr; Jean-Marc Nicod; Christophe Varnier (ICPHM, 2015)

Using a sparse promoting method in linear programming approximations to schedule parallel jobs. - Stéphane Chrétien; Jean-Marc Nicod; Laurent Philippe 001; Veronika Rehn-Sonigo; Lamiel Toch (Concurr. Comput. Pract. Exp., 2015)

Total Variation Minimization for Compressed Sensing with "Smoothly" Varying Covariates. - Stéphane Chrétien; Peter Harris; Rami Tawil (CSE/EUC/DCABES, 2016)

A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysis. - Stéphane Chrétien; Christophe Guyeux; Bastien Conesa; Régis Delage-Mouroux; Michèle Jouvenot; Philippe Huetz; Françoise Descôtes (BMC Bioinform., 2016)

A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering. - Stéphane Chrétien; Clément Dombry; Adrien Faivre (CoRR, 2016)

Validation of Algorithms to Estimate Distribution Network Characteristics Using Power-Hardware-in-the-Loop Configuration. - Maria Segovia; Islam Rohouma; Qiteng Hong; Stéphane Chrétien; Paul Clarkson (AMPS, 2017)

Finding optimal finite biological sequences over finite alphabets: The OptiFin toolbox. - Régis Garnier; Christophe Guyeux; Stéphane Chrétien (CIBCB, 2017)

An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix. - Stéphane Chrétien; Sébastien Darses (MOD, 2017)

Simulation-based estimation of branching models for LTR retrotransposons. - Serge Moulin; Nicolas Seux; Stéphane Chrétien; Christophe Guyeux; Emmanuelle Lerat (Bioinform., 2017)

Post-Prognostics Decision for Optimizing the Commitment of Fuel Cell Systems. - Stéphane Chrétien; Nathalie Herr; Jean-Marc Nicod; Christophe Varnier (CoRR, 2017)

Systematic investigations of gene effects on both topologies and supports: An Echinococcus illustration. - Christophe Guyeux; Stéphane Chrétien; Nathalie M.-L. Côté; Jacques M. Bahi (J. Bioinform. Comput. Biol., 2017)

Enhancing Prony's method by nuclear norm penalization and extension to missing data. - Basad Al Sarray; Stéphane Chrétien; Paul Clarkson; Guillaume Cottez (Signal Image Video Process., 2017)

Sensing Tensors With Gaussian Filters. - Stéphane Chrétien; Tianwen Wei (IEEE Trans. Inf. Theory, 2017)

Feature Selection in Weakly Coherent Matrices. - Stéphane Chrétien; Zhen-Wai Olivier Ho (LVA/ICA, 2018)

Online Shortest Paths With Confidence Intervals for Routing in a Time Varying Random Network. - Stéphane Chrétien; Christophe Guyeux (IJCNN, 2018)

Average Performance Analysis of the Stochastic Gradient Method for Online PCA. - Stéphane Chrétien; Christophe Guyeux; Zhen-Wai Olivier Ho (LOD, 2018)

l1-Penalised Ordinal Polytomous Regression Estimators with Application to Gene Expression Studies. - Stéphane Chrétien; Christophe Guyeux; Serge Moulin (WABI, 2018)

A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model. - Marine Bruneau; Thierry Mottet; Serge Moulin; Maël Kerbiriou; Franz Chouly; Stéphane Chrétien; Christophe Guyeux (Comput. Biol. Medicine, 2018)

Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. - Stéphane Chrétien; Hemant Tyagi (CoRR, 2018)

A note on computing the smallest conic singular value. - Stéphane Chrétien (J. Comput. Appl. Math., 2018)

A Penalized Autoencoder Approach for Nonlinear Independent Component Analysis. - Tianwen Wei; Stéphane Chrétien (ICASSP, 2019)

Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere. - Stéphane Chrétien; Christophe Guyeux (IWBBIO (1), 2019)

Incoherent Submatrix Selection via Approximate Independence Sets in Scalar Product Graphs. - Stéphane Chrétien; Zhen-Wai Olivier Ho (LOD, 2019)

SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences. - Johny Matar; Hicham El Khoury; Jean-Claude Charr; Christophe Guyeux; Stéphane Chrétien (Comput. Biol. Medicine, 2019)

The Guedon-Vershynin Semi-definite Programming Approach to Low Dimensional Embedding for Unsupervised Clustering. - Stéphane Chrétien; Clément Dombry; Adrien Faivre (Frontiers Appl. Math. Stat., 2019)

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

Introducing and Comparing Recent Clustering Methods for Massive Data Management in the Internet of Things. - Christophe Guyeux; Stéphane Chrétien; Gaby Bou Tayeh; Jacques Demerjian; Jacques M. Bahi (J. Sens. Actuator Networks, 2019)

Is spectral clustering mode preserving ? - Stéphane Chrétien; Kavya Jagan (EGC, 2020)

Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold. - Stéphane Chrétien; Benjamin Guedj (LOD (1), 2020)

Boolean learning under noise-perturbations in hardware neural networks. - Louis Andreoli; Xavier Porte; Stéphane Chrétien; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2020)

A finite sample analysis of the double descent phenomenon for ridge function estimation. - Emmanuel Caron; Stéphane Chrétien (CoRR, 2020)

The Quantile Matching Problem and Point Cloud Registration. - Stéphane Chrétien; Oya Ekin Karasan; Ecenur Oguz; Mustafa Ç. Pinar (ACDA, 2021)

Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint. - Stéphane Chrétien; Emmanuel Caron (ESANN, 2021)

Signature Estimation and Signal Recovery Using Median of Means. - Stéphane Chrétien; Rémi Vaucher (GSI (2), 2021)

Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature. - Stéphane Chrétien; Mihai Cucuringu; Guillaume Lecué; Lucie Neirac (J. Mach. Learn. Res., 2021)

Ant Colony-Based Hyperparameter Optimisation in Total Variation Reconstruction in X-ray Computed Tomography. - Manasavee Lohvithee; Wenjuan Sun; Stéphane Chrétien; Manuchehr Soleimani (Sensors, 2021)

Low tubal rank tensor recovery using the Bürer-Monteiro factorisation approach. Application to optical coherence tomography. - Mohamed Ibrahim Assoweh; Stéphane Chrétien; Brahim Tamadazte (J. Comput. Appl. Math., 2022)

Special Issue on Safe and Reliable AI for Smart Sustainable Cities. - Ivan Izonin; Stéphane Chrétien; Ali Ebrahimnejad (Symmetry, 2022)

Leveraging the Power of Signatures for the Construction of Topological Complexes for the Analysis of Multivariate Complex Dynamics. - Stéphane Chrétien; Ben Gao; Astrid Thébault Guiochon; Rémi Vaucher (COMPLEX NETWORKS (1), 2023)

Amélioration de l'architecture GAT par la prise en compte de la courbure des arêtes du graphe. - Hugo Attali; Adrien Guille; Stéphane Chrétien (EGC, 2023)

Convergence and scaling of Boolean-weight optimization for hardware reservoirs. - Louis Andreoli; Stéphane Chrétien; Xavier Porte; Daniel Brunner (CoRR, 2023)

Using data science to predict firemen interventions: a case study. - Christophe Guyeux; Gaby Bou Tayeh; Abdallah Makhoul; Stéphane Chrétien; Julien Bourgeois; Jacques M. Bahi (J. Supercomput., 2023)

Functional Linear Regression for the prediction of streaming video QoE. - Jean Steve Tamo Tchomgui; Vincent Barriac; Guillaume Fraysse; Julien Jacques; Stéphane Chrétien (CNSM, 2024)

Artificial Intelligence in Medicine: Small Data Approach. - Ivan Izonin; Roman Tkachenko; Iryna Pliss; Yaroslav Tolstyak; Kyrylo Yemets; Olha Chala; Myroslav Havryliuk; Stéphane Chrétien (IDDM, 2024)

Computing the Shortest Vector in a Lattice Using the Alternating Direction Method of Multipliers. - Wissam AlKendi; Stéphane Chrétien; Christophe Guyeux (SAI (1), 2024)

Registration of algebraic varieties using Riemannian optimization. - Florentin Goyens; Coralia Cartis; Stéphane Chrétien (CoRR, 2024)

Time topological analysis of EEG using signature theory. - Stéphane Chrétien; Ben Gao; Astrid Thébault Guiochon; Rémi Vaucher (CoRR, 2024)

A mixture of experts regression model for functional response with functional covariates. - Jean Steve Tamo Tchomgui; Julien Jacques; Guillaume Fraysse; Vincent Barriac; Stéphane Chrétien (Stat. Comput., 2024)

Biological Sequence Clustering: Novel Approaches and a Comparative Study. - Johny Matar; Hicham El Khoury; Jean-Claude Charr; Christophe Guyeux; Stéphane Chrétien (SN Comput. Sci., 2025)

Detecting malignant dynamics on very few blood sample using signature coefficients. - Rémi Vaucher; Stéphane Chrétien (CoRR, 2025)

SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology. - Paul Minchella; Loïc Verlingue; Stéphane Chrétien; Rémi Vaucher; Guillaume Metzler (CoRR, 2025)