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cs.LG2026
Euclidean Fourier Neural Operators
Nathanael Bosch, Niklas Frederik Schmitz, Michael F. Herbst
Fourier neural operators (FNOs) provide an efficient framework for learning mappings between function spaces as they are, by construction, independent of the grid resolution at whi…
cs.LG2021
Rotation Equivariant Operators for Machine Learning on Scalar and Vector Fields
Paul Shen, Michael Herbst, Venkat Viswanathan
We develop theory and software for rotation equivariant operators on scalar and vector fields, with diverse applications in simulation, optimization and machine learning. Rotation…