Christophe Denis

According to our database, Christophe Denis authored at least 29 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Active learning algorithm through the lens of rejection arguments.

Christophe Denis, Mohamed Hebiri, Boris Ndjia Njike, Xavier Siebert

Mach. Learn., February, 2024

Fairness guarantees in multi-class classification with demographic parity.

Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu

J. Mach. Learn. Res., 2024

Cadre méthodologique de spécification formelle d'un simulateur par apprentissage machine profond pour assurer sa validation.

Christophe Denis

Proceedings of the Extraction et Gestion des Connaissances, 2024

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., December, 2022

Interprétabilité et explicabilité de phénomènes prédits par de l'apprentissage machine.

Christophe Denis, Franck Varenne

Rev. Ouverte Intell. Artif., 2022

Magnetic anomalies characterization: Deep learning and explainability.

Julio José Cárdenas Chapellín, Christophe Denis, Hajar Mousannif, Christian Camerlynck, Nicolas Florsch

Comput. Geosci., 2022

Multiclass classification for Hawkes processes.

Christophe Denis, Charlotte Dion-Blanc, Laure Sansonnet

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Set-valued classification - overview via a unified framework.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul

CoRR, 2021

Tagged error: tracing numerical error through computations.

Nestor Demeure, Cédric Chevalier, Christophe Denis, Pierre Dossantos-Uzarralde

Proceedings of the 28th IEEE Symposium on Computer Arithmetic, 2021

2020

Regression with reject option and application to kNN.

Ahmed Zaoui, Christophe Denis, Mohamed Hebiri

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fair regression via plug-in estimator and recalibration with statistical guarantees.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fair regression with Wasserstein barycenters.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Assembly micro-benchmark generator for characterizing Floating Point Units.

Jean Pourroy, Patrick Demichel, Christophe Denis

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2017

Confidence Sets with Expected Sizes for Multiclass Classification.

Christophe Denis, Mohamed Hebiri

J. Mach. Learn. Res., 2017

On the benefits of output sparsity for multi-label classification.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Joseph Salmon

CoRR, 2017

2016

Recovering Numerical Reproducibility in Hydrodynamic Simulations.

Philippe Langlois, Rafife Nheili, Christophe Denis

Proceedings of the 23nd IEEE Symposium on Computer Arithmetic, 2016

Verificarlo: Checking Floating Point Accuracy through Monte Carlo Arithmetic.

Christophe Denis, Pablo de Oliveira Castro, Eric Petit

Proceedings of the 23nd IEEE Symposium on Computer Arithmetic, 2016

2015

Confidence Sets for Classification.

Christophe Denis, Mohamed Hebiri

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Numerical reproducibility: Feasibility issues.

Philippe Langlois, Rafife Nheili, Christophe Denis

Proceedings of the 7th International Conference on New Technologies, Mobility and Security, 2015

2014

Numerical Verification of Large Scale CFD Simulations: One Way to Prepare the Exascale Challenge.

Christophe Denis

Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

2013

Efficient Matrix Multiplication Based on Discrete Stochastic Arithmetic.

Séthy Montan, Christophe Denis, Jean Marie Chesneaux, Jean Luc Lamotte

Reliab. Comput., 2013

2012

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

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

Numerical Health Check of Industrial Simulation Codes from HPC Environments to New Hardware Technologies.

Christophe Denis

Proceedings of the Parallel Processing and Applied Mathematics, 2009

2008

GREMLINS: a large sparse linear solver for grid environment.

Raphaël Couturier, Christophe Denis, Fabienne Jézéquel

Parallel Comput., 2008

2007

Numerical 'health check' for scientific codes: the CADNA approach.

N. Stanley Scott, Fabienne Jézéquel, Christophe Denis, Jean Marie Chesneaux

Comput. Phys. Commun., 2007

2005

A Load Balancing Method for a Parallel Application Based on a Domain Decomposition.

Christophe Denis, Jean-Paul Boufflet, Piotr Breitkopf

Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

2004

Load Balancing Issues for a Multiple Front Method.

Christophe Denis, Jean-Paul Boufflet, Piotr Breitkopf, Michel Vayssade, Barbara Glut

Proceedings of the Computational Science, 2004