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Tristan Sylvain
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2020 – today
- 2024
- [j2]Alex Fedorov
, Eloy Geenjaar
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 285: 120485 (2024) - [c9]Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain:
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval. ICLR 2024 - [i18]Lilian W. Bialokozowicz, Hoang M. Le, Tristan Sylvain, Peter A. I. Forsyth, Vineel Nagisetty, Greg Mori:
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis. CoRR abs/2402.01955 (2024) - [i17]Mingde Zhao, Tristan Sylvain, Doina Precup, Yoshua Bengio:
Identifying and Addressing Delusions for Target-Directed Decision-Making. CoRR abs/2410.07096 (2024) - 2023
- [c8]Mohammad Amin Shabani, Amir H. Abdi, Lili Meng, Tristan Sylvain:
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting. ICLR 2023 - [i16]Melissa Mozifian, Tristan Sylvain, Dave Evans, Lili Meng:
Robust Reinforcement Learning Objectives for Sequential Recommender Systems. CoRR abs/2305.18820 (2023) - [i15]Chiyu Zhang, Qi Yan, Lili Meng, Tristan Sylvain:
What Constitutes Good Contrastive Learning in Time-Series Forecasting? CoRR abs/2306.12086 (2023) - [i14]Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain:
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval. CoRR abs/2310.01880 (2023) - 2022
- [i13]Amin Shabani, Amir H. Abdi, Lili Meng, Tristan Sylvain:
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting. CoRR abs/2206.04038 (2022) - [i12]Alex Fedorov
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes. CoRR abs/2209.02876 (2022) - 2021
- [c7]Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma:
Object-Centric Image Generation from Layouts. AAAI 2021: 2647-2655 - [c6]Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio:
CMIM: Cross-Modal Information Maximization For Medical Imaging. ICASSP 2021: 1190-1194 - [c5]Alex Fedorov
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. ICHI 2021: 23-30 - [c4]Alex Fedorov
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease. ISBI 2021: 1548-1552 - [c3]Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Exploring the Wasserstein metric for time-to-event analysis. SPACA 2021: 194-206 - 2020
- [j1]ByungIn Yoo
Joint Learning of Generative Translator and Classifier for Visually Similar Classes. IEEE Access 8: 219160-219173 (2020) - [c2]Tristan Sylvain, Linda Petrini, R. Devon Hjelm:
Locality and Compositionality in Zero-Shot Learning. ICLR 2020 - [i11]Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma:
Object-Centric Image Generation from Layouts. CoRR abs/2003.07449 (2020) - [i10]Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio:
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer. CoRR abs/2006.13291 (2020) - [i9]Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio:
Cross-Modal Information Maximization for Medical Imaging: CMIM. CoRR abs/2010.10593 (2020) - [i8]Tristan Sylvain, Linda Petrini, R. Devon Hjelm:
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations. CoRR abs/2010.13320 (2020) - [i7]Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On self-supervised multi-modal representation learning: An application to Alzheimer's disease. CoRR abs/2012.13619 (2020) - [i6]Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Taxonomy of multimodal self-supervised representation learning. CoRR abs/2012.13623 (2020)
2010 – 2019
- 2019
- [i5]ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim:
Joint Learning of Generative Translator and Classifier for Visually Similar Classes. CoRR abs/1912.06994 (2019) - [i4]Tristan Sylvain, Linda Petrini, R. Devon Hjelm:
Locality and compositionality in zero-shot learning. CoRR abs/1912.12179 (2019) - 2018
- [i3]Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Learning to rank for censored survival data. CoRR abs/1806.01984 (2018) - 2017
- [c1]Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio:
Diet Networks: Thin Parameters for Fat Genomics. ICLR (Poster) 2017 - [i2]Margaux Luck, Tristan Sylvain, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Deep Learning for Patient-Specific Kidney Graft Survival Analysis. CoRR abs/1705.10245 (2017) - 2016
- [i1]Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat
Diet Networks: Thin Parameters for Fat Genomic. CoRR abs/1611.09340 (2016)
Coauthor Index
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