| A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation T Fel, V Boutin, M Moayeri, R Cadène, L Bethune, L Andéol, M Chalvidal, ... arXiv preprint arXiv:2306.07304, 2023 | 22 | 2023 |
| Learning domain invariant representations by joint Wasserstein distance minimization L Andéol, Y Kawakami, Y Wada, T Kanamori, KR Müller, G Montavon Neural Networks, 2023 | 5 | 2023 |
| Spectral embedded deep clustering Y Wada, S Miyamoto, T Nakagama, L Andéol, W Kumagai, T Kanamori Entropy 21 (8), 795, 2019 | 5 | 2019 |
| Conformal prediction for trustworthy detection of railway signals L Andéol, T Fel, F de Grancey, L Mossina AI and Ethics 4 (1), 157-161, 2024 | 3 | 2024 |
| Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling L Andéol, T Fel, F De Grancey, L Mossina Conformal and Probabilistic Prediction with Applications, 36-55, 2023 | 3 | 2023 |
| Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty L Mossina, J Dalmau, L Andéol Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis H Waida, Y Wada, L Andéol, T Nakagawa, Y Zhang, T Kanamori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) P Novello, J Dalmau, L Andeol arXiv preprint arXiv:2403.11532, 2024 | | 2024 |
| Graph Kernels and Support Vector Machines for Pattern Recognition L Andéol | | 2019 |
| Saliency strikes back: How filtering out high frequencies improves white-box explanations S Muzellec, FEL Thomas, V Boutin, L Andéol, R VanRullen, T Serre Forty-first International Conference on Machine Learning, 0 | | |
Thomas FelKempner Institute, HarvardVerified email at seas.harvard.edu
