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Tristan Sylvain

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OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis

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Feb 02, 2024
Lilian W. Bialokozowicz, Hoang M. Le, Tristan Sylvain, Peter A. I. Forsyth, Vineel Nagisetty, Greg Mori

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AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval

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Oct 03, 2023
Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain

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What Constitutes Good Contrastive Learning in Time-Series Forecasting?

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Jun 21, 2023
Chiyu Zhang, Qi Yan, Lili Meng, Tristan Sylvain

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Robust Reinforcement Learning Objectives for Sequential Recommender Systems

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May 30, 2023
Melissa Mozifian, Tristan Sylvain, Dave Evans, Lili Meng

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Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

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Sep 07, 2022
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria Misiura, R Devon Hjelm, Sergey M. Plis, Vince D. Calhoun

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Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

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Jun 08, 2022
Amin Shabani, Amir Abdi, Lili Meng, Tristan Sylvain

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Taxonomy of multimodal self-supervised representation learning

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Dec 29, 2020
Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis

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On self-supervised multi-modal representation learning: An application to Alzheimer's disease

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Dec 25, 2020
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun

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Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations

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Oct 22, 2020
Tristan Sylvain, Linda Petrini, R Devon Hjelm

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Cross-Modal Information Maximization for Medical Imaging: CMIM

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Oct 20, 2020
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm, Yoshua Bengio

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