Research & Projects

Works

H. Kvinge; A. Aguilar; N. Farnsworth; G. O’Brien; R. Jasper; S. Scullen; H. Jenne; Can Neural Networks Learn Small Algebraic Worlds? An Investigation into the Group-Theoretic Structures Learned by Narrow Models Trained to Predict Group Operations, arXiv Preprint, (2026) https://arxiv.org/abs/2601.21150
G. O’Brien; A. Aguilar; R. Jasper; H. Kvinge; S. Scullen; H. Jenne; Using Local Complexity to Evaluate Out-of-Distribution Generalization, In Topology, Algebra, and Geometry in Data Science (2025), https://openreview.net/forum?id=ykz6FVpWTy
A. Burcroff; G. O’Brien; Unimodality and monotonic portions of certain domination polynomials, Disc. Math. (2023), https://doi.org/10.1016/j.disc.2023.113508
A. Beaupré; E. Hoopes-Boyd; G. O’Brien; On the images of generalized polynomials evaluated on matrices over an algebraically-closed skew field, Linear Algebra Appl. (2021), https://doi.org/10.1016/j.laa.2020.10.021.

Presentations

Combinatorics Seminar, University of Washington -- February 18, 2026
- Higher flow polytopes: A generalization to simplicial complexes
Back-to-school seminar, University of Washington -- October 10, 2025
- Spline time: Using geometry to understand deep neural networks
August Intern Symposium, Pacific Northwest National Laboratory -- August 21, 2025
- Spline time: Using geometry to understand deep neural networks
Women in Math Day, AWM-UW -- May 13, 2024
- Conformal Rigidity in Graphs
Joint Mathematics Meetings, Virtual -- January 5, 2022
- Unimodality and monotonic portions of certain domination polynomials

Workshops and Conferences

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