Nicolas J.-B. Brunel

According to our database, Nicolas J.-B. Brunel authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.

Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite

CoRR, 2024

2023

From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer.

Antoine Simoulin, Nicolas Thiebaut, Karl Neuberger, Issam Ibnouhsein, Nicolas J.-B. Brunel, Raphaël Viné, Nicolas Bousquet, Jules Latapy, Nathalie Reix, Sébastien Molière, Massimo Lodi, Carole Mathelin

Comput. Methods Programs Biomed., October, 2023

Learning Interactions in Reaction Diffusion Equations by Neural Networks.

Sichen Chen, Nicolas J.-B. Brunel, Xin Yang, Xinping Cui

Entropy, March, 2023

Adaptive Conformal Prediction by Reweighting Nonconformity Score.

Salim I. Amoukou, Nicolas J.-B. Brunel

CoRR, 2023

Shape Analysis of Euclidean Curves under Frenet-Serret Framework.

Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library.

Thibault Cordier, Vincent Blot, Louis Lacombe, Thomas Morzadec, Arnaud Capitaine, Nicolas J.-B. Brunel

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies.

Salim I. Amoukou, Nicolas J.-B. Brunel

CoRR, 2022

MAPIE: an open-source library for distribution-free uncertainty quantification.

Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas J.-B. Brunel

CoRR, 2022

Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor.

Salim I. Amoukou, Nicolas J.-B. Brunel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series.

Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Analysis of variability in sign language hand trajectories: development of generative model.

Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel

Proceedings of the MOCO '22: 8th International Conference on Movement and Computing, Chicago, IL, USA, June 22, 2022

Accurate Shapley Values for explaining tree-based models.

Salim I. Amoukou, Tangi Salaün, Nicolas J.-B. Brunel

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models.

Salim I. Amoukou, Nicolas J.-B. Brunel

CoRR, 2021

Accurate and robust Shapley Values for explaining predictions and focusing on local important variables.

Salim I. Amoukou, Nicolas J.-B. Brunel, Tangi Salaün

CoRR, 2021

2019

The Frenet-Serret Framework for Aligning Geometric Curves.

Nicolas J.-B. Brunel, Juhyun Park

Proceedings of the Geometric Science of Information - 4th International Conference, 2019