Joshua Hikida

Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data

Spatiotemporal models have drawn significant interest recently due to their widespread applicability across many domains. These models are often made more practically useful by incorporating beneficial inductive biases, such as laws or symmetries from domain-relevant physics equations. This "physics…