02 / World modeling & control
DeLuca

About the project
At Google AI Princeton, I explored the usage of spectral filtering to build lightweight, performant world models for dynamical systems. Spectral filtering is a technique that enables compact representations of long-term dependencies in time series data. We also validated recent theoretical results that spectral filtering can enable a linear model to predict non-linear dynamics effectively.