Tensorized Fourier Neural Operator

Neural Operators advance interpolation, resolution robustness, and Bayesian inference

Researchers are exploring new applications and improvements for neural operators, a class of models designed for learning maps between function spaces. One paper reframes neural operators as efficient function interpola…