2 papers
cs.LG2026
The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
Mansi Sakarvadia, Kareem Hegazy, Amin Totounferoush +4
A core challenge in scientific machine learning, and scientific computing more generally, is modeling continuous phenomena which (in practice) are represented discretely. Machine-l…
cs.LG2025
Paving the way for scientific foundation models: enhancing generalization and robustness in PDEs with constraint-aware pre-training
Amin Totounferoush, Serge Kotchourko, Michael W. Mahoney +1
Partial differential equations (PDEs) govern a wide range of physical systems, but solving them efficiently remains a major challenge. The idea of a scientific foundation model (Sc…