Scholar
Noah Amsel
Google Scholar ID: vkykpWgAAAAJ
Courant Institute, NYU
Citations & Impact
Citations
114
H-index
7
i10-index
4
Publications
17
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published a preprint on matrix sign methods and their application to the Muon algorithm titled 'The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm'; Published a paper on attention mechanisms at ICLR titled 'Quality over Quantity in Attention Layers: When Adding More Heads Hurts'.
Research Experience
- Was a research engineer at Reservoir Labs (now Qualcomm) working on modeling congestion control in communication networks; Spent summers at Adobe Research, Polymathic, and the Weizmann Institute, with the latter involving phylogenetic inference under the guidance of Boaz Nadler and Ariel Jaffe.
Education
- Fourth-year PhD student in Computer Science at NYU, advised by Joan Bruna and Chris Musco; Undergraduate at Yale, advised by Dan Spielman.
Background
- Research interests include linear algebra, approximation theory, and deep learning. Broadly interested in scientific computing and optimization as well.
Miscellany
- Helps organize the ML-NYC speaker series at the Flatiron Institute.
Co-authors