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Andrew Ligeralde
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 4
Top Topics
Computational Cost
Bio Inspired
Unsupervised Learning
Network Model
Top Venues
CoRR
UniReps
Neural Comput.
PLoS Comput. Biol.
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Publications
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Andrew Ligeralde
,
Yilun Kuang
,
Thomas Edward Yerxa
,
Miah N. Pitcher
,
Marla Feller
,
SueYeon Chung
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.
UniReps
(2023)
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
cytoNet: Spatiotemporal network analysis of cell communities.
PLoS Comput. Biol.
18 (6) (2022)
Charles G. Frye
,
James Simon
,
Neha S. Wadia
,
Andrew Ligeralde
,
Michael Robert DeWeese
,
Kristofer E. Bouchard
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses.
Neural Comput.
33 (6) (2021)
Charles G. Frye
,
James Simon
,
Neha S. Wadia
,
Andrew Ligeralde
,
Michael Robert DeWeese
,
Kristofer E. Bouchard
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses.
CoRR
(2020)