Nathan Kirk
Scholar

Nathan Kirk

Google Scholar ID: pAINurIAAAAJ
Illinois Institute of Technology
Quasi-Monte Carlo MethodsMachine learningHigh-dimensional approximation and integration
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Citations & Impact
All-time
Citations
42
 
H-index
4
 
i10-index
2
 
Publications
15
 
Co-authors
13
list available
Contact
No contact links provided.
Publications
6 items
A Bayesian Approach to Low-Discrepancy Subset Selection
2026
Cited
0
Optimizing Kernel Discrepancies via Subset Selection
2025
Cited
0
Neural Low-Discrepancy Sequences
2025
Cited
0
Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction
2025
Cited
0
Multilevel Sampling in Algebraic Statistics
2025
Cited
0
Low Stein Discrepancy via Message-Passing Monte Carlo
2025
Cited
0
Resume (English only)
Co-authors
13 total
T. Konstantin Rusch
T. Konstantin Rusch
Faculty at ELLIS Institute Tübingen & MPI for Intelligent Systems + Scientific Advisor at Liquid AI
Co-author 2
Co-author 2
Daniela Rus
Daniela Rus
Andrew (1956) and Erna Viterbi Professor of Computer Science, MIT
Michael Bronstein
Michael Bronstein
DeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRA
Aleksei Sorokin
Aleksei Sorokin
Illinois Institute of Technology
Fred J. Hickernell
Fred J. Hickernell
Department of Applied Mathematics, Illinois Institute of Technology
Jakob Zech
Jakob Zech
Heidelberg University
Sonja Petrović
Sonja Petrović
Illinois Institute of Technology