Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps
Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, and Henry Kvinge
ICLR Workshop on Geometrical and Topological Representation Learning, 2022
Representations and Support Theory for Bosonized Quantum Complete Intersections
Nico Courts
University of Washington ProQuest Dissertations Publishing, 2022
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Nico Courts and Henry Kvinge
International Conference on Learning Representations (ICLR), 2022
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One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations
Henry Kvinge, Scott Howland, Nico Courts, Lauren A. Phillips, John Buckheit, Zachary New, Elliott Skomski, Jung H. Lee, Sandeep Tiwari, Jessica Hibler, Courtney D. Corley,and Nathan O. Hodas.
arXiv preprint, 2021
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, and Nathan O. Hodas.
AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021
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Schur Duality and Strict Polynomial Functors
Nico Courts
Masters thesis, 2020
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