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Léo Andéol
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2020 – today
- 2024
- [j3]Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina:
Conformal prediction for trustworthy detection of railway signals. AI Ethics 4(1): 157-161 (2024) - [c5]Luca Mossina, Joseba Dalmau, Léo Andéol:
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty. CVPR Workshops 2024: 3574-3584 - [c4]Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin VanRullen, Thomas Serre:
Saliency strikes back: How filtering out high frequencies improves white-box explanations. ICML 2024 - [i7]Paul Novello, Joseba Dalmau, Léo Andéol:
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?). CoRR abs/2403.11532 (2024) - [i6]Luca Mossina, Joseba Dalmau, Léo Andéol:
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty. CoRR abs/2405.05145 (2024) - 2023
- [j2]Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori
, Klaus-Robert Müller
Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks 167: 233-243 (2023) - [c3]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: 36-55 - [c2]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 - [c1]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: 709-727 - [i5]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 abs/2304.00395 (2023) - [i4]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 abs/2304.06052 (2023) - [i3]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 abs/2306.07304 (2023) - [i2]Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre:
Gradient strikes back: How filtering out high frequencies improves explanations. CoRR abs/2307.09591 (2023) - 2021
- [i1]Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon:
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR abs/2106.04923 (2021)
2010 – 2019
- 2019
- [j1]Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol
Spectral Embedded Deep Clustering. Entropy 21(8): 795 (2019)
Coauthor Index
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