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Tristan Sylvain
Tristan Sylvain
Borealis AI
Verified email at umontreal.ca - Homepage
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
1402017
Object-centric image generation from layouts
T Sylvain, P Zhang, Y Bengio, RD Hjelm, S Sharma
AAAI 2021, arXiv preprint arXiv:2003.07449, 2020
842020
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
822016
Locality and compositionality in zero-shot learning
T Sylvain, L Petrini, D Hjelm
ICLR 2020, arXiv preprint arXiv:1912.12179, 2019
552019
Scaleformer: iterative multi-scale refining transformers for time series forecasting
A Shabani, A Abdi, L Meng, T Sylvain
ICLR 2023, 2023
392023
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
202021
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
112021
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
9*2021
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
92020
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
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
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
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
22021
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
12020
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis
LW Bialokozowicz, HM Le, T Sylvain, PAI Forsyth, V Nagisetty, G Mori
arXiv preprint arXiv:2402.01955, 2024
2024
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
2024
Multi-scale artifical neural network and a method for operating same for time series forecasting
A Shabani, T Sylvain, L Meng, A Abdi
US Patent App. 18/197,197, 2023
2023
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Q Yan, R Seraj, J He, L Meng, T Sylvain
arXiv preprint arXiv:2310.01880, 2023
2023
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
C Zhang, Q Yan, L Meng, T Sylvain
arXiv preprint arXiv:2306.12086, 2023
2023
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