Nicolas J.-B. Brunel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Associative Classifiers

Classification Models

Conformal Prediction

Electronic Health Records

Top Venues

Publications

Hussein Jawad, Nicolas J.-B. Brunel
QROA: A Black-Box Query-Response Optimization Attack on LLMs. CoRR (2024)
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 (2024)
Vincent Blot, Anastasios N. Angelopoulos, Michael I. Jordan, Nicolas J.-B. Brunel
Automatically Adaptive Conformal Risk Control. CoRR (2024)
Sichen Chen, Nicolas J.-B. Brunel, Xin Yang, Xinping Cui
Learning Interactions in Reaction Diffusion Equations by Neural Networks. Entropy 25 (3) (2023)
Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel
Shape Analysis of Euclidean Curves under Frenet-Serret Framework. ICCV (2023)
Salim I. Amoukou, Nicolas J.-B. Brunel
Adaptive Conformal Prediction by Reweighting Nonconformity Score. CoRR (2023)
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 (2023)
Salim I. Amoukou, Nicolas J.-B. Brunel
Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies. CoRR (2022)
Salim I. Amoukou, Tangi Salaün, Nicolas J.-B. Brunel
Accurate Shapley Values for explaining tree-based models. AISTATS (2022)
Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel
Analysis of variability in sign language hand trajectories: development of generative model. MOCO (2022)
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)
Salim I. Amoukou, Nicolas J.-B. Brunel
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models. CoRR (2021)
Salim I. Amoukou, Nicolas J.-B. Brunel, Tangi Salaün
The Shapley Value of coalition of variables provides better explanations. CoRR (2021)
Salim I. Amoukou, Nicolas J.-B. Brunel, Tangi Salaün
Accurate and robust Shapley Values for explaining predictions and focusing on local important variables. CoRR (2021)
Nicolas J.-B. Brunel, Juhyun Park
The Frenet-Serret Framework for Aligning Geometric Curves. GSI (2019)