1 citations · 1 across the 1 of their papers we have counts for
3 papers
cond-mat.stat-mech2020
Quantifying many-body learning far from equilibrium with representation learning
Weishun Zhong, Jacob M. Gold, Sarah Marzen +2
Far-from-equilibrium many-body systems, from soap bubbles to suspensions to polymers, learn the drives that push them. This learning has been observed via thermodynamic properties,…
stat.ML2019★ 1 cited
A Closer Look at Disentangling in -VAE
Harshvardhan Sikka, Weishun Zhong, Jun Yin +1
In many data analysis tasks, it is beneficial to learn representations where each dimension is statistically independent and thus disentangled from the others. If data generating f…
cond-mat.dis-nn2018
Non-equilibrium statistical mechanics of continuous attractors
Weishun Zhong, Zhiyue Lu, David J Schwab +1
Continuous attractors have been used to understand recent neuroscience experiments where persistent activity patterns encode internal representations of external attributes like he…