Yunlong Jiao
Yunlong Jiao
Machine Learning Scientist, Amazon
Verified email at - Homepage
Cited by
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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
The Kendall and Mallows kernels for permutations
Y Jiao, JP Vert
International Conference on Machine Learning, 1935-1944, 2015
Controlling the distance to a kemeny consensus without computing it
Y Jiao, A Korba, E Sibony
International Conference on Machine Learning, 2971-2980, 2016
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
The weighted kendall and high-order kernels for permutations
Y Jiao, JP Vert
International Conference on Machine Learning, 2314-2322, 2018
Kernel multitask regression for toxicogenetics
E Bernard, Y Jiao, E Scornet, V Stoven, T Walter, JP Vert
Molecular informatics 36 (10), 1700053, 2017
Signaling pathway activities improve prognosis for breast cancer
Y Jiao, MR Hidalgo, C Çubuk, A Amadoz, J Carbonell-Caballero, JP Vert, ...
BioRxiv, 132357, 2017
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
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
Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer
Y Jiao
PSL Research University, 2017
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
Supplementary Material to “The Kendall and Mallows Kernels for Permutations”
Y Jiao, JP Vert
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