Tag: Foundational

2 entries

DeepONet (Original Paper)

Foundational Paper
Presents a branch-trunk architecture realizing a deep learning version of the universal operator approximation theorem - the first systematic architecture for learning nonlinear operators and still a mainstream baseline.
arXiv preprint (copyright held by authors) DeepONetNeural OperatorFoundational

Fourier Neural Operator (Original Paper)

Foundational Paper
Introduces neural operators with integral kernels parameterized in Fourier space, enabling resolution-invariant PDE solving - a foundational and highly cited work in physics AI.
arXiv preprint (copyright held by authors) FNONeural OperatorFoundational

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