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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 176–200 of 347 papers

TitleStatusHype
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
Energy-Dissipative Evolutionary Deep Operator Neural Networks—0
Operator learning with PCA-Net: upper and lower complexity bounds—0
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation—0
Optimal deep learning of holomorphic operators between Banach spaces—0
Optimization for Neural Operators can Benefit from Width—0
Orthogonal greedy algorithm for linear operator learning with shallow neural network—0
Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution—0
Physics and geometry informed neural operator network with application to acoustic scattering—0
Physics-Informed Deep B-Spline Networks for Dynamical Systems—0
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems—0
Koopman operator learning using invertible neural networks—0
Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems—0
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures—0
Physics informed WNO—0
PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations—0
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space—0
Projection Methods for Operator Learning and Universal Approximation—0
Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data—0
Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers—0
Randomized prior wavelet neural operator for uncertainty quantification—0
Recurrent Neural Operators: Stable Long-Term PDE Prediction—0
Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning—0
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