Andrea Liu

17PUBLICATIONS
78CO-AUTHORS
Semi- and unsupervised learningNeural networksMicrofluidics and nanofluidicsAtmospheric dynamicsPolymers and plastics
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Publications (17)

|May 21, 2026
Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine.

|Sep 03, 2025
Training of physical neural networks.

Ali Momeni, Babak Rahmani, Benjamin Scellier

|Jul 16, 2025
Cornerstones are the key stones: using interpretable machine learning to probe the clogging process in 2D granular hoppers.

Jesse M Hanlan, Sam Dillavou, Andrea J Liu

|Jan 10, 2025
A minimal vertex model explains how the amnioserosa avoids fluidization during <i>Drosophila</i> dorsal closure.

Indrajit Tah, Daniel Haertter, Janice M Crawford

|Jul 02, 2024
Machine learning without a processor: Emergent learning in a nonlinear analog network.

Sam Dillavou, Benjamin D Beyer, Menachem Stern

|Oct 09, 2023
Identifying microscopic factors that influence ductility in disordered solids.

Hongyi Xiao, Ge Zhang, Entao Yang

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Frequent Collaborators

4 joint publications

Douglas J Durian

3 joint publications

Sean Ridout

2 joint publications

Indrajit Tah

2 joint publications

Sam Dillavou