Load Balancing Issues for a Multiple Front Method. - Christophe Denis; Jean-Paul Boufflet; Piotr Breitkopf; Michel Vayssade; Barbara Glut (International Conference on Computational Science, 2004)

A Load Balancing Method for a Parallel Application Based on a Domain Decomposition. - Christophe Denis; Jean-Paul Boufflet; Piotr Breitkopf (IPDPS, 2005)

Numerical 'health check' for scientific codes: the CADNA approach. - N. Stanley Scott; Fabienne Jézéquel; Christophe Denis; Jean Marie Chesneaux (Comput. Phys. Commun., 2007)

GREMLINS: a large sparse linear solver for grid environment. - Raphaël Couturier; Christophe Denis; Fabienne Jézéquel (Parallel Comput., 2008)

Numerical Health Check of Industrial Simulation Codes from HPC Environments to New Hardware Technologies. - Christophe Denis (PPAM (2), 2009)

2DRMP: A suite of two-dimensional R-matrix propagation codes. - N. Stanley Scott; M. Penny Scott; Phil G. Burke; Timothy Stitt; V. Faro-Maza; Christophe Denis; A. Maniopoulou (Comput. Phys. Commun., 2009)

Solving large sparse linear systems in a grid environment: the GREMLINS code versus the PETSc library. - Fabienne Jézéquel; Raphaël Couturier; Christophe Denis (J. Supercomput., 2012)

Efficient Matrix Multiplication Based on Discrete Stochastic Arithmetic. - Séthy Montan; Christophe Denis; Jean Marie Chesneaux; Jean Luc Lamotte (Reliab. Comput., 2013)

Numerical Verification of Large Scale CFD Simulations: One Way to Prepare the Exascale Challenge. - Christophe Denis (HPCC/CSS/ICESS, 2014)

Numerical reproducibility: Feasibility issues. - Philippe Langlois; Rafife Nheili; Christophe Denis (NTMS, 2015)

Confidence Sets for Classification. - Christophe Denis; Mohamed Hebiri (SLDS, 2015)

Verificarlo: Checking Floating Point Accuracy through Monte Carlo Arithmetic. - Christophe Denis; Pablo de Oliveira Castro; Eric Petit 002 (ARITH, 2016)

Recovering Numerical Reproducibility in Hydrodynamic Simulations. - Philippe Langlois; Rafife Nheili; Christophe Denis (ARITH, 2016)

On the benefits of output sparsity for multi-label classification. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Joseph Salmon (CoRR, 2017)

Confidence Sets with Expected Sizes for Multiclass Classification. - Christophe Denis; Mohamed Hebiri (J. Mach. Learn. Res., 2017)

Assembly micro-benchmark generator for characterizing Floating Point Units. - Jean Pourroy; Patrick Demichel; Christophe Denis (HPCS, 2019)

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Luca Oneto; Massimiliano Pontil (NeurIPS, 2019)

Fair regression with Wasserstein barycenters. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Luca Oneto; Massimiliano Pontil (NeurIPS, 2020)

Fair regression via plug-in estimator and recalibration with statistical guarantees. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Luca Oneto; Massimiliano Pontil (NeurIPS, 2020)

Regression with reject option and application to kNN. - Ahmed Zaoui; Christophe Denis; Mohamed Hebiri (NeurIPS, 2020)

Tagged error: tracing numerical error through computations. - Nestor Demeure; Cédric Chevalier; Christophe Denis; Pierre Dossantos-Uzarralde (ARITH, 2021)

Set-valued classification - overview via a unified framework. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Titouan Lorieul (CoRR, 2021)

Multiclass classification for Hawkes processes. - Christophe Denis; Charlotte Dion-Blanc; Laure Sansonnet (UAI, 2022)

Magnetic anomalies characterization: Deep learning and explainability. - Julio José Cárdenas Chapellín; Christophe Denis; Hajar Mousannif; Christian Camerlynck; Nicolas Florsch (Comput. Geosci., 2022)

Interprétabilité et explicabilité de phénomènes prédits par de l'apprentissage machine. - Christophe Denis; Franck Varenne (Rev. Ouverte Intell. Artif., 2022)

Algorithm 1029: Encapsulated Error, a Direct Approach to Evaluate Floating-Point Accuracy. - Nestor Demeure; Cédric Chevalier; Christophe Denis; Pierre Dossantos-Uzarralde (ACM Trans. Math. Softw., 2022)

Cadre méthodologique de spécification formelle d'un simulateur par apprentissage machine profond pour assurer sa validation. - Christophe Denis (EGC, 2024)

Fairness guarantees in multi-class classification with demographic parity. - Christophe Denis; Romuald Elie; Mohamed Hebiri; François Hu (J. Mach. Learn. Res., 2024)

Active learning algorithm through the lens of rejection arguments. - Christophe Denis; Mohamed Hebiri; Boris Ndjia Njike; Xavier Siebert (Mach. Learn., 2024)

Empirical risk minimization algorithm for multiclass classification of S.D.E. paths. - Christophe Denis; Eddy Ella Mintsa (CoRR, 2025)