Research

Enhanced sampling using autoencoders with data augmentation

Hierarchical autoencoders: dimensionality reduction with importance ranking

Discovering slow modes from time-series data

Theoretical bounds of time-lagged autoencoders

We derived and proved the greatest lower bound of the reconstruction loss for time-lagged autoencoders, for finite-state stationary process.

(to be continued)