Andrew Ligeralde

According to our database, Andrew Ligeralde authored at least 3 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2022

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, Jacob T. Robinson, Aryeh Warmflash, Eric M. Brey, Yu Shin Kim, Amina A. Qutub

PLoS Comput. Biol., 2022

2021

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