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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 151–160 of 347 papers

TitleStatusHype
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEsCode0
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations—0
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation—0
A Hybrid Kernel-Free Boundary Integral Method with Operator Learning for Solving Parametric Partial Differential Equations In Complex Domains—0
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and ExtrapolationCode1
Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control—0
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
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