
Patents (AI/ML)
2022
Methods and Systems for Dynamically Generating a Plurality of Machine Learning Systems During Processing of a User Data Set
Nate Gillman, Nadia Laflaf, Abraham Parangi, Jonathon Reilly, and Nathan Wies. U.S. Patent Application No. 63/411,898. Filed Sep 30, 2022.
Nate Gillman, Nadia Laflaf, Abraham Parangi, Jonathon Reilly, and Nathan Wies. U.S. Patent Application No. 63/411,898. Filed Sep 30, 2022.
Publications/Preprints (AI/ML)
2022
William Rudman, Nate Gillman, Taylor Rayne, and Carsten Eickhoff. ACL 2022.
arXiv / Project Page / Journal
Publications/Preprints (Mathematics)
2021
Frank Coen, Nate Gillman, Tamás Keleti, Dylan King, and Jennifer Zhu (2021). Annales Fennici Mathematici, 46(2), 683-702.
arXiv / Journal

Nate Gillman, Michael Kural, Alexandru Pascadi, Junyao Peng, and Ashwin Sah (2020). Research in Number Theory, 6(9).
arXiv / Journal / MathSciNet

Nate Gillman (2020). Journal of Number Theory, 206, 46-61.
arXiv / Journal / MathSciNet

Nate Gillman, Xavier Gonzalez, Ken Ono, Larry Rolen, and Matthew Schoenbauer (2019). Philosophical Transactions of the Royal Society A, 378: 20180435.
arXiv / Journal / MathSciNet

Nate Gillman, Xavier Gonzalez, and Matthew Schoenbauer (2018). Research in Number Theory 4(39).
arXiv / Journal / MathSciNet
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