Léo Andéol

According to our database, Léo Andéol authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks.

Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz

CoRR, June, 2025

Conformal Object Detection by Sequential Risk Control.

Léo Andéol, Luca Mossina, Adrien Mazoyer, Sébastien Gerchinovitz

CoRR, May, 2025

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP.

Alya Zouzou, Léo Andéol, Mélanie Ducoffe, Ryma Boumazouza

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

Sequential Conformal Risk Control for Safe Railway Signaling Detection.

Léo Andéol, Thomas Massena

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

2024

Conformal prediction for trustworthy detection of railway signals.

Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina

AI Ethics, February, 2024

Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?).

Paul Novello, Joseba Dalmau, Léo Andéol

CoRR, 2024

Saliency strikes back: How filtering out high frequencies improves white-box explanations.

Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin VanRullen, Thomas Serre

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty.

Luca Mossina, Joseba Dalmau, Léo Andéol

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning domain invariant representations by joint Wasserstein distance minimization.

Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon

Neural Networks, October, 2023

Gradient strikes back: How filtering out high frequencies improves explanations.

Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre

CoRR, 2023

Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis.

Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation.

Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling.

Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2019

Spectral Embedded Deep Clustering.

Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori

Entropy, 2019