Christophe Denis

Orcid: 0000-0002-6825-3819

According to our database1, Christophe Denis authored at least 27 papers between 2004 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Active learning algorithm through the lens of rejection arguments.
Mach. Learn., February, 2024

2022
Algorithm 1029: Encapsulated Error, a Direct Approach to Evaluate Floating-Point Accuracy.
ACM Trans. Math. Softw., December, 2022

Interprétabilité et explicabilité de phénomènes prédits par de l'apprentissage machine.
ROIA, 2022

Magnetic anomalies characterization: Deep learning and explainability.
Comput. Geosci., 2022

Multiclass classification for Hawkes processes.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Set-valued classification - overview via a unified framework.
CoRR, 2021

Tagged error: tracing numerical error through computations.
Proceedings of the 28th IEEE Symposium on Computer Arithmetic, 2021

2020
Regression with reject option and application to kNN.
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.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fair regression with Wasserstein barycenters.
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.
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.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2017
Confidence Sets with Expected Sizes for Multiclass Classification.
J. Mach. Learn. Res., 2017

On the benefits of output sparsity for multi-label classification.
CoRR, 2017

2016
Recovering Numerical Reproducibility in Hydrodynamic Simulations.
Proceedings of the 23nd IEEE Symposium on Computer Arithmetic, 2016

Verificarlo: Checking Floating Point Accuracy through Monte Carlo Arithmetic.
Proceedings of the 23nd IEEE Symposium on Computer Arithmetic, 2016

2015
Confidence Sets for Classification.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Numerical reproducibility: Feasibility issues.
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.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

2013
Efficient Matrix Multiplication Based on Discrete Stochastic Arithmetic.
Reliab. Comput., 2013

2012
Solving large sparse linear systems in a grid environment: the GREMLINS code versus the PETSc library.
J. Supercomput., 2012

2009
2DRMP: A suite of two-dimensional R-matrix propagation codes.
Comput. Phys. Commun., 2009

Numerical Health Check of Industrial Simulation Codes from HPC Environments to New Hardware Technologies.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

2008
GREMLINS: a large sparse linear solver for grid environment.
Parallel Comput., 2008

2007
Numerical 'health check' for scientific codes: the CADNA approach.
Comput. Phys. Commun., 2007

2005
A Load Balancing Method for a Parallel Application Based on a Domain Decomposition.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

2004
Load Balancing Issues for a Multiple Front Method.
Proceedings of the Computational Science, 2004


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