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Publications/Preprints (AI/ML)

2024
Self-Correcting Self-Consuming Loops for Generative Model Training
Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, and Chen Sun. ICML 2024.

arXiv   /   Code   /   Project Page
2022
IsoScore: Measuring the Uniformity of Embedding Space Utilization
William Rudman, Nate Gillman, Taylor Rayne, and Carsten Eickhoff. ACL 2022.


arXiv  /  Code   /   Journal

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.

Publications/Preprints (Mathematics)

2021
Large sets with small injective projections
Frank Coen, Nate Gillman, Tamás Keleti, Dylan King, and Jennifer Zhu (2021). Annales Fennici Mathematici, 46(2), 683-702.

arXiv   /   Journal
2020
Patterns of primes in the Sato-Tate conjecture
Nate Gillman, Michael Kural, Alexandru Pascadi, Junyao Peng, and Ashwin Sah (2020). Research in Number Theory, 6(9).

arXiv   /   Journal   /   MathSciNet
Explicit subconvexity savings for sup-norms of cusp forms on PGL(n,R)
Nate Gillman (2020). Journal of Number Theory, 206, 46-61.


arXiv   /  Journal   /   MathSciNet
2019
From partitions to Hodge numbers of Hilbert schemes of surfaces
Nate Gillman, Xavier Gonzalez, Ken Ono, Larry Rolen, and Matthew Schoenbauer (2019). Philosophical Transactions of the Royal Society A, 378: 20180435.

arXiv   /   Journal   /   MathSciNet
2018
Exact formulas for invariants of Hilbert schemes
Nate Gillman, Xavier Gonzalez, and Matthew Schoenbauer (2018). Research in Number Theory 4(39).

arXiv   /   Journal   /   MathSciNet

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