Scholar
Elan Rosenfeld
Google Scholar ID: f0j0K8QAAAAJ
Research Scientist, Google Research
Citations & Impact
Citations
4,225
H-index
12
i10-index
14
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as ICML, ICLR, NeurIPS, including 'Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization' and '(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy'.
Research Experience
- Spent two years as a software engineer at Google NYC working on Search Research and Machine Intelligence (SRMI). Currently a research scientist at Google Research.
Education
- PhD student in the Machine Learning Department at CMU, advised by Andrej Risteski and Pradeep Ravikumar. Graduated from CMU with degrees in Computer Science and Statistics & Machine Learning, senior thesis advised by Manuel Blum and Santosh Vempala.
Background
- Interested in the foundations of machine learning with a focus on robustness, reliability, and security. Emphasizes principled approaches to improving robustness and generalization, particularly under distribution shift or adversarial manipulation. Also frequently studies questions in representation learning.
Miscellany
- Personal email: [firstname].[lastname]@gmail.com
Co-authors