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; Henry Kvinge (TAG-ML, 2022)

Deep Learning for Spectral Filling in Radio Frequency Applications. - Matthew Setzler; Elizabeth Coda; Jeremiah Rounds; Michael Vann; Michael Girard (CoRR, 2022)

Universal Fourier Attack for Time Series. - Elizabeth Coda; Brad Clymer; Chance N. DeSmet; Yijing Watkins; Michael Girard (CoRR, 2022)

Haldane bundles: a dataset for learning to predict the Chern number of line bundles on the torus. - Cody Tipton; Elizabeth Coda; Davis Brown; Alyson Bittner; Jung Lee; Grayson Jorgenson; Tegan Emerson; Henry Kvinge (NeurReps, 2023)

Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus. - Cody Tipton; Elizabeth Coda; Davis Brown; Alyson Bittner; Jung H. Lee; Grayson Jorgenson; Tegan Emerson; Henry Kvinge (CoRR, 2023)

An Axiomatic Definition of Hierarchical Clustering. - Ery Arias-Castro; Elizabeth Coda (CoRR, 2024)

Graph Max Shift: A Hill-Climbing Method for Graph Clustering. - Ery Arias-Castro; Elizabeth Coda; Wanli Qiao (CoRR, 2024)