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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 26–50 of 347 papers

TitleStatusHype
Mesh-Informed Neural Operator : A Transformer Generative ApproachCode1
Fast Sampling of Diffusion Models via Operator LearningCode1
Equivariant Neural Operator Learning with Graphon ConvolutionCode1
Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization MethodsCode1
An operator learning perspective on parameter-to-observable mapsCode1
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEsCode1
Improved Operator Learning by Orthogonal AttentionCode1
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC DesignCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
DCEM: A deep complementary energy method for solid mechanicsCode1
Deciphering and integrating invariants for neural operator learning with various physical mechanismsCode1
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problemsCode1
Deep Learning Computed Tomography based on the Defrise and Clack AlgorithmCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Fast PDE-constrained optimization via self-supervised operator learningCode1
Basis-to-Basis Operator Learning Using Function EncodersCode1
Generative AI for fast and accurate statistical computation of fluidsCode1
Continuum Attention for Neural OperatorsCode1
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator LearningCode1
An enrichment approach for enhancing the expressivity of neural operators with applications to seismologyCode1
In-Context Operator Learning with Data Prompts for Differential Equation ProblemsCode1
Kernel Methods are Competitive for Operator LearningCode1
Learning dynamical systems: an example from open quantum system dynamicsCode1
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformationsCode1
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