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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 301–325 of 347 papers

TitleStatusHype
Sobolev Training for Operator Learning—0
Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data—0
Solving Partial Differential Equations in Different Domains by Operator Learning method Based on Boundary Integral Equations—0
Solving PDE-constrained Control Problems Using Operator Learning—0
DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks—0
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations—0
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs—0
Dilated convolution neural operator for multiscale partial differential equations—0
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors—0
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning—0
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains—0
Discretization Error of Fourier Neural Operators—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)—0
Domain Adaptive Safety Filters via Deep Operator Learning—0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application—0
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems—0
Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—0
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines—0
Wavelet neural operator: a neural operator for parametric partial differential equations—0
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