Léo Andéol - RankMe

22 papers A* 3Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conformal Object Detection by Sequential Risk Control. CoRR Léo Andéol, Luca Mossina, Adrien Mazoyer, Sébastien Gerchinovitz
2025	—	`—`	Conformal prediction for trustworthy computer vision: applications to railway signaling detection and train tracking. (Prédiction conforme pour une vision par ordinateur de confiance: applications à la détection de la signalisation ferroviaire et au suivi des trains). Léo Andéol
2025	A*	`conf`	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. ICML Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
2025	J	`jnl`	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. CoRR Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
2025	—	`conf`	Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP. COPA Alya Zouzou, Léo Andéol, Mélanie Ducoffe, Ryma Boumazouza
2025	J	`jnl`	Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP. CoRR Alya Zouzou, Léo Andéol, Mélanie Ducoffe, Ryma Boumazouza
2025	—	`conf`	Sequential Conformal Risk Control for Safe Railway Signaling Detection. COPA Léo Andéol, Thomas Massena
2024	—	`conf`	Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty. CVPR Workshops Luca Mossina, Joseba Dalmau, Léo Andéol
2024	J	`jnl`	Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty. CoRR Luca Mossina, Joseba Dalmau, Léo Andéol
2024	J	`jnl`	Conformal prediction for trustworthy detection of railway signals. AI Ethics Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina
2024	J	`jnl`	Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?). CoRR Paul Novello, Joseba Dalmau, Léo Andéol
2024	A*	`conf`	Saliency strikes back: How filtering out high frequencies improves white-box explanations. ICML Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin VanRullen, Thomas Serre
2023	A*	`conf`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	J	`jnl`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	—	`conf`	Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling. COPA Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina
2023	J	`jnl`	Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling. CoRR Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina
2023	J	`jnl`	Gradient strikes back: How filtering out high frequencies improves explanations. CoRR Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre
2023	J	`jnl`	Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
2023	—	`conf`	Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. ECML/PKDD (4) Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
2023	J	`jnl`	Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. CoRR Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
2021	J	`jnl`	Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
2019	J	`jnl`	Spectral Embedded Deep Clustering. Entropy Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori