Dr Nathan Kirk

Open access
High-dimensional quasi-Monte Carlo via combinatorial discrepancy
Chen, J., Jiang, H. & Kirk, N., 1 Oct 2026, In: Journal of Complexity. 96, 23 p., 102053.
Research output: Contribution to journal › Article › peer-review
Open access
Neural low-discrepancy sequences
Huffel, M. E. V., Kirk, N., Chahine, M., Rus, D. & Rusch, T. K., 4 Oct 2025, arXiv, 18 p.
Research output: Working paper › Preprint
Open access
Quasi-Monte Carlo methods: what, why, and how?
Hickernell, F. J., Kirk, N. & Sorokin, A. G., 5 Feb 2025, arXiv, 34 p.
Research output: Working paper › Preprint
Open access
Message-passing Monte Carlo: generating low-discrepancy point sets via graph neural networks
Rusch, T. K., Kirk, N., Bronstein, M. M., Lemieux, C. & Rus, D., 1 Oct 2024, In: Proceedings of the National Academy of Sciences. 121, 40, 7 p., e2409913121.
Research output: Contribution to journal › Article › peer-review

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