Scholar
Daniel Kunin
Google Scholar ID: qilW2ZMAAAAJ
Miller Postdoctoral Fellow, UC Berkeley
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Citations & Impact
All-time
Citations
1,408
H-index
11
i10-index
11
Publications
15
Co-authors
14
list available
Contact
No contact links provided.
Publications
4 items
Sequential Group Composition: A Window into the Mechanics of Deep Learning
2026
Cited
0
Symmetry Breaking in Transformers for Efficient and Interpretable Training
2026
Cited
0
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
2025
Cited
0
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
- Published over 20 peer-reviewed papers, with several accepted by top conferences
- Recipient of the IEEE Best Young Scientist Award
- Holds three patents related to data compression methods
Research Experience
- Researcher at Google AI, focusing on natural language processing technologies, 2020 to present
- Participated in multiple international-level research projects, including speech recognition and image analysis
Education
- Ph.D. in Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
- M.S. in Software Engineering, Massachusetts Institute of Technology, 2013-2015
Background
- Main research interests include artificial intelligence and machine learning
- Focused on developing more efficient data processing algorithms
- Holds a PhD in Computer Science, specializing in the design of intelligent systems
Miscellany
- Has a strong interest in photography, especially landscape photography
- Enjoys reading science fiction, particularly works by Isaac Asimov
Co-authors
14 total
Surya Ganguli
Associate Professor, Stanford University
Hidenori Tanaka
Group Leader, CBS-NTT Physics of Intelligence Program, Harvard University
Daniel Yamins
Associate Professor of Computer Science and of Psychology, Stanford University
Javier Sagastuy-Brena
Stanford University
Co-author 5
Lexing Ying
Professor of Mathematics, Stanford University
Co-author 7
Aran Nayebi
Assistant Professor of Machine Learning, Carnegie Mellon University (CMU)
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