2026
The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
ICLR 2026poster
A core challenge in scientific machine learning, and scientific computing more generally, is modeling continuous phenomena which (in practice) are represented discretely. Machine-learned operators (MLO) have been introduced as a means to achieve this modeling goal, as this class of architecture can…