Léo Andéol

According to our database, Léo Andéol authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

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

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