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Chen SunEliot Horowitz Assistant Professor of Computer Science · Brown UniversityResearcher↗
Researcher · Academic
Randall Balestriero
Brown UniversityAssistant Professor of Computer Science
Balestriero develops mathematical foundations for learning without labeled data. He co-created LeJEPA, a simpler method for training AI to learn useful patterns,[1] and co-authored A Cookbook of Self-Supervised Learning.[2] His spline theory explains neural networks as connected pieces of simpler functions.[3]
Career & education
Current roleBrown University2024-presentAssistant Professor of Computer Science
Brown University2024-presentPreviously
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations6,137As of Nov 10, '26
References
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristicsarxiv.org
Balestriero and Yann LeCun co-authored LeJEPA; simplified self-supervised training objective.
- A Cookbook of Self-Supervised Learningarxiv.org
Original author list verifies co-authorship and practical guide to self-supervised learning.
- A Spline Theory of Deep Learningproceedings.mlr.press
Balestriero and Baraniuk introduce spline framework for deep networks.
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