Scholar
Tristan Sylvain
Google Scholar ID: Dg5qUb0AAAAJ
Optiver
Deep Learning
Time-series forecasting
Natural Language Processing
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Citations & Impact
All-time
Citations
686
H-index
10
i10-index
11
Publications
20
Co-authors
22
list available
Contact
Twitter
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GitHub
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Publications
2 items
Contextual bandits with entropy-based human feedback
2025
Cited
0
Rejecting Hallucinated State Targets during Planning
2024
Cited
0
Resume (English only)
Background
Currently a machine learning / quant researcher at Optiver, working on machine learning for financial data.
Research goal is to understand the fundamental principles underlying generalization in machine learning.
Past research focused on computer vision problems, particularly scene understanding and zero-shot learning.
Recently shifted focus to time-series forecasting via contrastive learning.
During PhD, also conducted research on survival analysis and multimodality in medical imaging.
Co-authors
22 total
Yoshua Bengio
Professor of computer science, University of Montreal, Mila, IVADO, CIFAR
Co-author 2
R Devon Hjelm
Apple MLR, Mila
Andrea Lodi
Cornell Tech and Technion -- IIT
Alex Fedorov
Emory University
Co-author 6
Co-author 7
Adriana Romero-Soriano
Fundamental AI Research, Meta
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