Léo Andéol

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Confidence Levels

Conformal Prediction

Theoretical Analysis

Top Venues

Publications

Paul Novello, Joseba Dalmau, Léo Andéol
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?). CoRR (2024)
Luca Mossina, Joseba Dalmau, Léo Andéol
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty. CoRR (2024)
Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina
Conformal prediction for trustworthy detection of railway signals. AI Ethics 4 (1) (2024)
Léo Andéol, Thomas Fel, Florence De Grancey, Luca Mossina
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling. COPA (2023)
Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. CoRR (2023)
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks 167 (2023)
Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS (2023)
Léo Andéol, Thomas Fel, Florence De Grancey, Luca Mossina
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling. CoRR (2023)
Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. ECML/PKDD (4) (2023)
Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre
Gradient strikes back: How filtering out high frequencies improves explanations. CoRR (2023)
Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR (2023)
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR (2021)
Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori
Spectral Embedded Deep Clustering. Entropy 21 (8) (2019)