Suzanna Parkinson

20212022202320241 5 5

Public access

1 article

0 articles

available

not available

Based on funding mandates

Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Greg OngieMarquette UniversityVerified email at marquette.edu
Tyler JarvisProfessor of Mathematics, Brigham Young UniversityVerified email at math.byu.edu
Hayden RingerPhD Student, Virginia TechVerified email at vt.edu
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu

Suzanna Parkinson

Computational and Applied Math PhD Student, University of Chicago

Verified email at uchicago.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Linear Neural Network Layers Promote Learning Single-and Multiple-Index Models S Parkinson, G Ongie, R Willett arXiv preprint arXiv:2305.15598, 2023	9	2023
Analysis of normal-form algorithms for solving systems of polynomial equations S Parkinson, H Ringer, K Wall, E Parkinson, L Erekson, D Christensen, ... Journal of Computational and Applied Mathematics 411, 114235, 2022	2	2022
Depth Separation in Norm-Bounded Infinite-Width Neural Networks S Parkinson, G Ongie, R Willett, O Shamir, N Srebro arXiv preprint arXiv:2402.08808, 2024		2024

The system can't perform the operation now. Try again later.

Articles 1–3

Citations per year