| Prediction of human population responses to toxic compounds by a collaborative competition F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ... Nature biotechnology 33 (9), 933-940, 2015 | 121 | 2015 |
| The Kendall and Mallows kernels for permutations Y Jiao, JP Vert International Conference on Machine Learning, 1935-1944, 2015 | 77 | 2015 |
| Universal neural vocoding with parallel wavenet Y Jiao, A Gabryś, G Tinchev, B Putrycz, D Korzekwa, V Klimkov ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 57 | 2021 |
| Trans-encoder: Unsupervised sentence-pair modelling through self-and mutual-distillations F Liu, Y Jiao, J Massiah, E Yilmaz, S Havrylov arXiv preprint arXiv:2109.13059, 2021 | 35 | 2021 |
| Controlling the distance to a kemeny consensus without computing it Y Jiao, A Korba, E Sibony International Conference on Machine Learning, 2971-2980, 2016 | 17 | 2016 |
| Rethinking semi-supervised learning with language models Z Shi, F Tonolini, N Aletras, E Yilmaz, G Kazai, Y Jiao arXiv preprint arXiv:2305.13002, 2023 | 14 | 2023 |
| Pars: Pseudo-label aware robust sample selection for learning with noisy labels A Goel, Y Jiao, J Massiah arXiv preprint arXiv:2201.10836, 2022 | 10 | 2022 |
| The weighted kendall and high-order kernels for permutations Y Jiao, JP Vert International Conference on Machine Learning, 2314-2322, 2018 | 9 | 2018 |
| Kernel multitask regression for toxicogenetics E Bernard, Y Jiao, E Scornet, V Stoven, T Walter, JP Vert Molecular informatics 36 (10), 1700053, 2017 | 8 | 2017 |
| Just Mix Once: Mixing Samples with Implicit Group Distribution G Giannone, S Havrylov, J Massiah, E Yilmaz, Y Jiao NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 5 | 2021 |
| Signaling pathway activities improve prognosis for breast cancer Y Jiao, MR Hidalgo, C Çubuk, A Amadoz, J Carbonell-Caballero, JP Vert, ... BioRxiv, 132357, 2017 | 5 | 2017 |
| Schema-guided user satisfaction modeling for task-oriented dialogues Y Feng, Y Jiao, A Prasad, N Aletras, E Yilmaz, G Kazai arXiv preprint arXiv:2305.16798, 2023 | 3 | 2023 |
| Improving the expressiveness of neural vocoding with non-affine Normalizing Flows A Gabryś, Y Jiao, V Klimkov, D Korzekwa, R Barra-Chicote arXiv preprint arXiv:2106.08649, 2021 | 3 | 2021 |
| Failure state prediction for automated analyzers for analyzing a biological sample F Heinemann, S Kobel, S Dahlmanns, JP Vert, Y Jiao US Patent App. 16/416,844, 2019 | 3 | 2019 |
| Just mix once: Worst-group generalization by group interpolation G Giannone, S Havrylov, J Massiah, E Yilmaz, Y Jiao arXiv preprint arXiv:2210.12195, 2022 | 2 | 2022 |
| Robust weak supervision with variational auto-encoders F Tonolini, N Aletras, Y Jiao, G Kazai International Conference on Machine Learning, 34394-34408, 2023 | 1 | 2023 |
| On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents J Massiah, E Yilmaz, Y Jiao, G Kazai Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein Y Jiao Paris Sciences et Lettres (ComUE), 2017 | | 2017 |
| Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer Y Jiao Université Paris sciences et lettres, 2017 | | 2017 |
| Weak Supervision Variational Auto-Encoder F Tonolini, N Aletras, Y Jiao, G Kazai | | |
Jean-Philippe VertOwkin / PSL UniversityVerified email at owkin.com
