Scholar
Jonathan W. Siegel
Google Scholar ID: oI42qIIAAAAJ
Assistant Professor, Texas A&M University
Approximation Theory
Statistics
Machine Learning
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Citations & Impact
All-time
Citations
1,058
H-index
15
i10-index
19
Publications
20
Co-authors
18
list available
Publications
9 items
Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling
2026
Cited
0
Quantitative Approximation Rates for Group Equivariant Learning
2026
Cited
0
In-Context Multi-Operator Learning with DeepOSets
2025
Cited
0
Nearly Optimal Bounds on the Fourier sampling numbers of Besov Spaces
2025
Cited
0
Optimal Recovery Meets Minimax Estimation
arXiv.org · 2025
Cited
1
On the expressiveness and spectral bias of KANs
arXiv.org · 2024
Cited
2
Approximation Rates for Shallow ReLU$^k$ Neural Networks on Sobolev Spaces via the Radon Transform
2024
Cited
4
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
arXiv.org · 2023
Cited
6
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Co-authors
10 total
Jinchao Xu
Professor of Applied Mathematics and Computational Sciences, KAUST
Wenrui Hao
Professor of mathematics, Penn State University
Ronald DeVore
Professor of Matematics, Texas A&M University
Stephan Wojtowytsch
University of Pittsburgh
Rahul Parhi
University of California, San Diego
Robert D Nowak
Keith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data Science
Kanan Gupta
University of Pittsburgh
Yuwen Li
Zhejiang University
