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ORCIDNathan Kirk
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2020 – today
- 2025
[i9]Fred J. Hickernell, Nathan Kirk, Aleksei G. Sorokin:
Quasi-Monte Carlo Methods: What, Why, and How? CoRR abs/2502.03644 (2025)- [i8]Nathan Kirk, T. Konstantin Rusch, Jakob Zech, Daniela Rus:
Low Stein Discrepancy via Message-Passing Monte Carlo. CoRR abs/2503.21103 (2025) - [i7]Nathan Kirk, Ivan Gvozdanovic, Sonja Petrovic:
Multilevel Sampling in Algebraic Statistics. CoRR abs/2505.04062 (2025) - [i6]Ambrose Emmett-Iwaniw, Nathan Kirk:
Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction. CoRR abs/2506.05391 (2025) - [i5]François Clément, Nathan Kirk, Art B. Owen, T. Konstantin Rusch:
On the optimization of discrepancy measures. CoRR abs/2508.04926 (2025) - [i4]Jiaheng Chen, Haotian Jiang, Nathan Kirk:
High-Dimensional Quasi-Monte Carlo via Combinatorial Discrepancy. CoRR abs/2508.18426 (2025) - 2024
- [j1]François Clément
, Nathan Kirk, Florian Pausinger:
Partitions for stratified sampling. Monte Carlo Methods Appl. 30(2): 163-181 (2024) - [c2]Nathan Kirk, Christiane Lemieux:
An Improved Halton Sequence for Implementation in Quasi-Monte Carlo Methods. WSC 2024: 431-442 - [i3]T. Konstantin Rusch, Nathan Kirk, Michael M. Bronstein, Christiane Lemieux, Daniela Rus:
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks. CoRR abs/2405.15059 (2024) - [i2]Nathan Kirk, Christiane Lemieux:
An improved Halton sequence for implementation in quasi-Monte Carlo methods. CoRR abs/2405.15799 (2024) - 2022
- [c1]Nathan Kirk, José A. Santos, Joseph Rafferty, Peter Nicholl, Ciara Campbell:
An Approach to Monitoring Particulate Matter Based Pollution Using Low-Cost Sensing. UCAmI 2022: 654-666
2010 – 2019
- 2014
- [i1]Nathan Kirk, Alan Benson, Christopher E. Goodyer, Matthew E. Hubbard:
A computational study of the effects of remodelled electrophysiology and mechanics on initiation of ventricular fibrillation in human heart failure. CoRR abs/1406.1701 (2014)
Coauthor Index
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