Tristan Sylvain
Title
Cited by
Cited by
Year
Deep learning for patient-specific kidney graft survival analysis
M Luck, T Sylvain, H Cardinal, A Lodi, Y Bengio
arXiv preprint arXiv:1705.10245, 2017
602017
Diet networks: thin parameters for fat genomics
A Romero, PL Carrier, A Erraqabi, T Sylvain, A Auvolat, E Dejoie, ...
ICLR 2017, arXiv preprint arXiv:1611.09340, 2016
382016
Locality and compositionality in zero-shot learning
T Sylvain, L Petrini, D Hjelm
ICLR 2020, arXiv preprint arXiv:1912.12179, 2019
72019
Object-Centric Image Generation from Layouts
T Sylvain, P Zhang, Y Bengio, RD Hjelm, S Sharma
arXiv preprint arXiv:2003.07449, 2020
12020
Cross-Modal Information Maximization for Medical Imaging: CMIM
T Sylvain, F Dutil, T Berthier, L Di Jorio, M Luck, D Hjelm, Y Bengio
arXiv preprint arXiv:2010.10593, 2020
2020
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
M Amodio, R Assouel, V Schmidt, T Sylvain, S Krishnaswamy, Y Bengio
arXiv preprint arXiv:2006.13291, 2020
2020
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
BI Yoo, T Sylvain, Y Bengio, J Kim
IEEE Access, 2019
2019
Zero-Shot Learning from scratch: leveraging local compositional representations
T Sylvain, L Petrini, D Hjelm
(spotlight) ICML 2019 Workshop on Understanding and Improving Generalization …, 2019
2019
Learning to rank for censored survival data
M Luck, T Sylvain, JP Cohen, H Cardinal, A Lodi, Y Bengio
ICML 2018 Workshop in Computational Biology, arXiv preprint arXiv:1806.01984, 2018
2018
A Review of Training Methods for Recurrent Neural Networks
T Sylvain
University of Oxford, 2014
2014
L’utilisation de modeles pour la creation de previsionseconomiques et financieres
B MARINO, R POPOFF, T SYLVAIN
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Articles 1–11