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Isabeau Prémont-Schwarz
Brain-inspired Artificial Intelligence
Reinforcement Learning
Combinatorial Generalization
Abstraction Formation
About
Isabeau Prémont-Schwarz is a professor of artificial intelligence. He is interested in brain-inspired AI, agent learning (including reinforcement learning), combinatorial generalization, and how to form "good" abstractions.
Research Performance Summary
2006-2024
Active Research Span
First Recorded Paper
Solitons in finite droplets of noncommutative Maxwell-Chern-Simons theory
Year:
2006
Citations:
1
Venue:
Journal of High Energy Physics 2006 (01)
Latest Recorded Paper
Are Grid Cells Hexagonal for Performance or by Convenience?
Year:
2024
Citations:
0
Venue:
arXiv preprint arXiv:2410.11886
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Prémont-Schwarz
Modesto
Premont-Schwarz
Research Impact by Period
Papers
6
Citations
275
Avg. Citations / Paper
45.8
H-Index
3
Papers
7
Citations
67
Avg. Citations / Paper
9.6
H-Index
3
Papers
9
Citations
316
Avg. Citations / Paper
35.1
H-Index
5
Papers
5
Citations
203
Avg. Citations / Paper
40.6
H-Index
3
Contact and Professional Links
Detected Research Keywords
Lieb Robinson Bounds
Dual Black Holes
Robinson Bounds Speed
Recurrent Ladder Networks
Quantum Fields Curved
Fields Curved Spacetime
Curved Spacetime Lab