2025
Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
ICML 2025poster
We present an operator-theoretic framework for temporal and spatio-temporal forecasting based on learning a *continuous time-shift operator*. Our operator learning paradigm offers a continuous relaxation of the discrete lag factor used in traditional autoregressive models, enabling the history of a…