Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. - Charles G. Frye; James Simon; Neha S. Wadia; Andrew Ligeralde; Michael Robert DeWeese; Kristofer E. Bouchard (Neural Comput., 2021)

cytoNet: Spatiotemporal network analysis of cell communities. - Arun S. Mahadevan; Byron L. Long; Chenyue W. Hu; David T. Ryan; Nicolas E. Grandel; George L. Britton; Marisol Bustos; Maria A. Gonzalez Porras; Katerina Stojkova; Andrew Ligeralde; Hyeonwi Son; John Shannonhouse; et al. (PLoS Comput. Biol., 2022)

Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry. - Andrew Ligeralde; Yilun Kuang; Thomas Edward Yerxa; Miah N. Pitcher; Marla Feller; SueYeon Chung (UniReps, 2023)