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ORCIDNicolas J.-B. Brunel
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2020 – today
- 2024
[i9]Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite:
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR abs/2401.07733 (2024)- [i8]Hussein Jawad, Nicolas J.-B. Brunel:
QROA: A Black-Box Query-Response Optimization Attack on LLMs. CoRR abs/2406.02044 (2024) - [i7]Vincent Blot, Anastasios N. Angelopoulos, Michael I. Jordan, Nicolas J.-B. Brunel:
Automatically Adaptive Conformal Risk Control. CoRR abs/2406.17819 (2024) - 2023
- [j2]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:
From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer. Comput. Methods Programs Biomed. 240: 107693 (2023) - [j1]Sichen Chen, Nicolas J.-B. Brunel, Xin Yang, Xinping Cui:
Learning Interactions in Reaction Diffusion Equations by Neural Networks. Entropy 25(3): 489 (2023) - [c7]Thibault Cordier, Vincent Blot, Louis Lacombe, Thomas Morzadec, Arnaud Capitaine, Nicolas J.-B. Brunel:
Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library. COPA 2023: 549-581 - [c6]Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel:
Shape Analysis of Euclidean Curves under Frenet-Serret Framework. ICCV 2023: 4004-4013 - [i6]Salim I. Amoukou, Nicolas J.-B. Brunel:
Adaptive Conformal Prediction by Reweighting Nonconformity Score. CoRR abs/2303.12695 (2023) - 2022
- [c5]Salim I. Amoukou, Tangi Salaün, Nicolas J.-B. Brunel:
Accurate Shapley Values for explaining tree-based models. AISTATS 2022: 2448-2465 - [c4]Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel:
Analysis of variability in sign language hand trajectories: development of generative model. MOCO 2022: 18:1-18:8 - [c3]Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel:
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. LOD (2) 2022: 281-295 - [c2]Salim I. Amoukou, Nicolas J.-B. Brunel:
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor. NeurIPS 2022 - [i5]Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas J.-B. Brunel:
MAPIE: an open-source library for distribution-free uncertainty quantification. CoRR abs/2207.12274 (2022) - [i4]Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel:
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. CoRR abs/2208.01998 (2022) - [i3]Salim I. Amoukou, Nicolas J.-B. Brunel:
Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies. CoRR abs/2209.14568 (2022) - 2021
- [i2]Salim I. Amoukou, Nicolas J.-B. Brunel, Tangi Salaün:
Accurate and robust Shapley Values for explaining predictions and focusing on local important variables. CoRR abs/2106.03820 (2021) - [i1]Salim I. Amoukou, Nicolas J.-B. Brunel:
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models. CoRR abs/2111.04658 (2021)
2010 – 2019
- 2019
- [c1]Nicolas J.-B. Brunel, Juhyun Park:
The Frenet-Serret Framework for Aligning Geometric Curves. GSI 2019: 608-617
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