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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
Energy-Dissipative Evolutionary Deep Operator Neural Networks—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
Analysis of Fast Structured Dictionary Learning—0
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—0
Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems—0
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
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