Nicolas J.-B. Brunel

25 papers A* 2A 2Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intrinsic Estimation of Frenet Curvatures for 3D Trajectory Analysis. J. Math. Imaging Vis. Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel
2026	J	`jnl`	ToolFlood: Beyond Selection - Hiding Valid Tools from LLM Agents via Semantic Covering. CoRR Hussein Jawad, Nicolas J.-B. Brunel
2025	A	`conf`	Automatically Adaptive Conformal Risk Control. AISTATS Vincent Blot, Anastasios Nikolas Angelopoulos, Michael I. Jordan, Nicolas J.-B. Brunel
2025	J	`jnl`	Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting. CoRR Vincent Blot, Alexandra Lorenzo de Brionne, Ines Sellami, Olivier Trassard, Isabelle Beau, Charlotte Sonigo, Nicolas J.-B. Brunel
2025	J	`jnl`	Towards a rigorous evaluation of RAG systems: the challenge of due diligence. CoRR Grégoire Martinon, Alexandra Lorenzo de Brionne, Jérôme Bohard, Antoine Lojou, Damien Hervault, Nicolas J.-B. Brunel
2025	J	`jnl`	Weighted Conformal Prediction Provides Adaptive and Valid Mask-Conditional Coverage for General Missing Data Mechanisms. CoRR Jiarong Fan, Juhyun Park, Thi Phuong Thuy Vo, Nicolas J.-B. Brunel
2024	J	`jnl`	Automatically Adaptive Conformal Risk Control. CoRR Vincent Blot, Anastasios N. Angelopoulos, Michael I. Jordan, Nicolas J.-B. Brunel
2024	J	`jnl`	Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite
2024	—	`conf`	Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting. UNSURE@MICCAI Vincent Blot, Alexandra Lorenzo de Brionne, Ines Sellami, Olivier Trassard, Isabelle Beau, Charlotte Sonigo, Nicolas J.-B. Brunel
2024	J	`jnl`	QROA: A Black-Box Query-Response Optimization Attack on LLMs. CoRR Hussein Jawad, Nicolas J.-B. Brunel
2023	J	`jnl`	Adaptive Conformal Prediction by Reweighting Nonconformity Score. CoRR Salim I. Amoukou, Nicolas J.-B. Brunel
2023	—	`conf`	Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library. COPA Thibault Cordier, Vincent Blot, Louis Lacombe, Thomas Morzadec, Arnaud Capitaine, Nicolas J.-B. Brunel
2023	J	`jnl`	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. 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
2023	J	`jnl`	Learning Interactions in Reaction Diffusion Equations by Neural Networks. Entropy Sichen Chen, Nicolas J.-B. Brunel, Xin Yang, Xinping Cui
2023	A*	`conf`	Shape Analysis of Euclidean Curves under Frenet-Serret Framework. ICCV Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel
2022	A	`conf`	Accurate Shapley Values for explaining tree-based models. AISTATS Salim I. Amoukou, Tangi Salaün, Nicolas J.-B. Brunel
2022	—	`conf`	Analysis of variability in sign language hand trajectories: development of generative model. MOCO Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel
2022	A*	`conf`	Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor. NeurIPS Salim I. Amoukou, Nicolas J.-B. Brunel
2022	J	`jnl`	MAPIE: an open-source library for distribution-free uncertainty quantification. CoRR Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas J.-B. Brunel
2022	J	`jnl`	Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies. CoRR Salim I. Amoukou, Nicolas J.-B. Brunel
2022	—	`conf`	Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. LOD (2) Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel
2022	J	`jnl`	Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. CoRR Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel
2021	J	`jnl`	Accurate and robust Shapley Values for explaining predictions and focusing on local important variables. CoRR Salim I. Amoukou, Nicolas J.-B. Brunel, Tangi Salaün
2021	J	`jnl`	Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models. CoRR Salim I. Amoukou, Nicolas J.-B. Brunel
2019	—	`conf`	The Frenet-Serret Framework for Aligning Geometric Curves. GSI Nicolas J.-B. Brunel, Juhyun Park