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Tristan Sylvain
Tristan Sylvain
Borealis AI
Dirección de correo verificada de umontreal.ca - Página principal
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Citado por
Citado por
Año
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
1482017
Object-centric image generation from layouts
T Sylvain, P Zhang, Y Bengio, RD Hjelm, S Sharma
AAAI 2021, arXiv preprint arXiv:2003.07449, 2020
1162020
Scaleformer: iterative multi-scale refining transformers for time series forecasting
A Shabani, A Abdi, L Meng, T Sylvain
ICLR 2023, 2023
1072023
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
852016
Locality and compositionality in zero-shot learning
T Sylvain, L Petrini, D Hjelm
ICLR 2020, arXiv preprint arXiv:1912.12179, 2019
652019
On self-supervised multimodal representation learning: an application to Alzheimer’s disease
A Fedorov, L Wu, T Sylvain, M Luck, TP DeRamus, D Bleklov, SM Plis, ...
2021 IEEE 18th international symposium on biomedical imaging (ISBI), 1548-1552, 2021
252021
CMIM: Cross-Modal Information Maximization For Medical Imaging
T Sylvain, F Dutil, T Berthier, L Di Jorio, M Luck, D Hjelm, Y Bengio
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
14*2021
Self-supervised multimodal domino: in search of biomarkers for alzheimer’s disease
A Fedorov, T Sylvain, E Geenjaar, M Luck, L Wu, TP DeRamus, A Kirilin, ...
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 23-30, 2021
13*2021
Autocast++: Enhancing world event prediction with zero-shot ranking-based context retrieval
Q Yan, R Seraj, J He, L Meng, T Sylvain
ICLR 2024, arXiv preprint arXiv:2310.01880, 2023
112023
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
92019
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links
A Fedorov, E Geenjaar, L Wu, T Sylvain, TP DeRamus, M Luck, M Misiura, ...
NeuroImage 285, 120485, 2024
62024
Deep learning for patient-specific kidney graft survival analysis. arXiv 2017
M Luck, T Sylvain, H Cardinal, A Lodi, Y Bengio
arXiv preprint arXiv:1705.10245, 2020
62020
Deep learning for patient-specific kidney graft survival analysis. arXiv
M Luck, T Sylvain, H Cardinal, A Lodi, Y Bengio
arXiv preprint arXiv:1705.10245, 2017
62017
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
BI Yoo, T Sylvain, Y Bengio, J Kim
IEEE Access, 2019
52019
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
42018
Exploring the wasserstein metric for time-to-event analysis
T Sylvain, M Luck, J Cohen, H Cardinal, A Lodi, Y Bengio
Survival Prediction-Algorithms, Challenges and Applications, 194-206, 2021
32021
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
M Mozifian, T Sylvain, D Evans, L Meng
arXiv preprint arXiv:2305.18820, 2023
22023
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
A Fedorov, E Geenjaar, L Wu, T Sylvain, TP DeRamus, M Luck, M Misiura, ...
arXiv preprint arXiv:2209.02876, 2022
22022
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
C Chen, G Oliveira, HS Noghabi, T Sylvain
arXiv preprint arXiv:2410.16489, 2024
12024
Enhance Time Series Modeling by Integrating LLM
C Chen, GL Oliveira, H Sharifi-Noghabi, T Sylvain
NeurIPS Workshop on Time Series in the Age of Large Models, 2024
12024
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Artículos 1–20