The Frenet-Serret Framework for Aligning Geometric Curves. - Nicolas J.-B. Brunel; Juhyun Park (GSI, 2019)

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)

Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models. - Salim I. Amoukou; Nicolas J.-B. Brunel (CoRR, 2021)

Accurate Shapley Values for explaining tree-based models. - Salim I. Amoukou; Tangi Salaün; Nicolas J.-B. Brunel (AISTATS, 2022)

Analysis of variability in sign language hand trajectories: development of generative model. - Perrine Chassat; Juhyun Park; Nicolas J.-B. Brunel (MOCO, 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 (LOD (2), 2022)

Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor. - Salim I. Amoukou; Nicolas J.-B. Brunel (NeurIPS, 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)

Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies. - Salim I. Amoukou; Nicolas J.-B. Brunel (CoRR, 2022)

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 (COPA, 2023)

Shape Analysis of Euclidean Curves under Frenet-Serret Framework. - Perrine Chassat; Juhyun Park; Nicolas J.-B. Brunel (ICCV, 2023)

Adaptive Conformal Prediction by Reweighting Nonconformity Score. - Salim I. Amoukou; Nicolas J.-B. Brunel (CoRR, 2023)

Learning Interactions in Reaction Diffusion Equations by Neural Networks. - Sichen Chen; Nicolas J.-B. Brunel; Xin Yang 014; Xinping Cui (Entropy, 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 002; Jules Latapy; Nathalie Reix; Sébastien Molière; Massimo Lodi; Carole Mathelin (Comput. Methods Programs Biomed., 2023)

Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting. - Vincent Blot; Alexandra Lorenzo de Brionne; Ines Sellami; Olivier Trassard; Isabelle Beau; Charlotte Sonigo; Nicolas J.-B. Brunel (UNSURE@MICCAI, 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)

QROA: A Black-Box Query-Response Optimization Attack on LLMs. - Hussein Jawad; Nicolas J.-B. Brunel (CoRR, 2024)

Automatically Adaptive Conformal Risk Control. - Vincent Blot; Anastasios Nikolas Angelopoulos; Michael I. Jordan; Nicolas J.-B. Brunel (AISTATS, 2025)

Towards a rigorous evaluation of RAG systems: the challenge of due diligence. - Grégoire Martinon; Alexandra Lorenzo de Brionne; Jérôme Bohard; Antoine Lojou; Damien Hervault; Nicolas J.-B. Brunel (CoRR, 2025)