Nicolas J.-B. Brunel

Orcid: 0000-0002-2840-8484

According to our database1, Nicolas J.-B. Brunel authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Automatically Adaptive Conformal Risk Control.
CoRR, 2024

QROA: A Black-Box Query-Response Optimization Attack on LLMs.
CoRR, 2024

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.
CoRR, 2024

Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

2023
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., October, 2023

Learning Interactions in Reaction Diffusion Equations by Neural Networks.
Entropy, March, 2023

Adaptive Conformal Prediction by Reweighting Nonconformity Score.
CoRR, 2023

Shape Analysis of Euclidean Curves under Frenet-Serret Framework.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022
Rethinking Counterfactual Explanations as Local and Regional Counterfactual Policies.
CoRR, 2022

MAPIE: an open-source library for distribution-free uncertainty quantification.
CoRR, 2022

Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor.
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.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Analysis of variability in sign language hand trajectories: development of generative model.
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.
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.
CoRR, 2021

Accurate and robust Shapley Values for explaining predictions and focusing on local important variables.
CoRR, 2021

2019
The Frenet-Serret Framework for Aligning Geometric Curves.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019


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