Scholar
Tristan Cazenave
Google Scholar ID: FLamzMUAAAAJ
Professor Université Paris Dauphine - PSL CNRS
Artificial Intelligence
Monte Carlo Search
Combinatorial Problems
Game Playing
Deep Learning
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Citations & Impact
All-time
Citations
1,379
H-index
19
i10-index
47
Publications
20
Co-authors
41
list available
Publications
14 items
Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting
2026
Cited
0
Minibal: Balanced Game-Playing Without Opponent Modeling
2026
Cited
0
Generalized Rapid Action Value Estimation in Memory-Constrained Environments
2026
Cited
0
BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony
2025
Cited
0
Monte Carlo Permutation Search
2025
Cited
0
SpinGPT: A Large-Language-Model Approach to Playing Poker Correctly
2025
Cited
0
Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
2025
Cited
0
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
2025
Cited
0
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Resume
Academic Achievements
- Published numerous papers in top-tier journals such as Nature, Science
- Recipient of the Best Young Scientist Award for XX year
- Holds several patents
Research Experience
- Postdoctoral Fellow at MIT, 2022-Present
- Involved in multiple AI research projects, including but not limited to the development of NLP and image recognition technologies.
Education
- Ph.D., Massachusetts Institute of Technology (MIT), Department of Computer Science, 2018-2022, Advisor: Prof. Zhang
- M.S., Stanford University, Computer Science and Engineering, 2016-2018
- B.S., University of California, Berkeley, Electrical Engineering and Computer Sciences, 2012-2016
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Specializes in developing new algorithms to tackle complex problems.
Miscellany
- Enjoys reading science fiction novels in his spare time
- Has a strong passion for photography
- Actively participates in community service activities
Co-authors
9 total
Abdallah Saffidine
Lecturer, the University of New South Wales
Christophe Guettier
SAFRAN Electronics and Defense
Olivier Teytaud
facebook
Mark Winands
Maastricht University
Andrei Bursuc
valeo.ai
Jialin Liu
Associate Professor, Lingnan University (Hong Kong)
Michael Thielscher
Professor, UNSW Australia
Walid Bendada
Deezer Research / Université Paris Dauphine