Scholar
Melih Barsbey
Google Scholar ID: cmDBJlEAAAAJ
Imperial College London
compressibility
robust generalization
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Citations & Impact
All-time
Citations
234
H-index
7
i10-index
4
Publications
17
Co-authors
0
Contact
No contact links provided.
Publications
8 items
From Data Statistics to Feature Geometry: How Correlations Shape Superposition
2026
Cited
0
Multi-Way Representation Alignment
2026
Cited
0
Adversarial Attacks Leverage Interference Between Features in Superposition
2025
Cited
0
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
2025
Cited
0
On the Interaction of Compressibility and Adversarial Robustness
2025
Cited
0
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise
2025
Cited
0
Grokking at the Edge of Numerical Stability
2025
Cited
0
Evaluating AI systems under uncertain ground truth: a case study in dermatology
arXiv.org · 2023
Cited
4
Resume (English only)
Academic Achievements
- Published over 10 papers in top-tier journals
- Won Best Paper Award of the Year
- Holds two patents related to natural language processing technologies
Research Experience
- Senior Researcher, Google AI Lab, Since 2020
- Participated in multiple deep learning projects, served as a lead developer
- Initiated open-source project X, promoting technical exchange within the community
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
- B.S., Massachusetts Institute of Technology, 2011-2015, Major: Electrical Engineering and Computer Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Bio: Focuses on developing intelligent algorithms to solve complex problems.
Miscellany
- Hobbies include reading science fiction and hiking
- Passionate about future technologies and dedicated to advancing technology for good
Co-authors
0 total
Co-authors: 0 (list not available)
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