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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 251–275 of 347 papers

TitleStatusHype
Multi-Resolution Active Learning of Fourier Neural OperatorsCode0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
Scattering with Neural Operators—0
Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning—0
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning—0
Neural Operators for PDE Backstepping Control of First-Order Hyperbolic PIDE with Recycle and DelayCode0
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)—0
Interpreting and generalizing deep learning in physics-based problems with functional linear modelsCode0
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems—0
Koopman operator learning using invertible neural networks—0
The Parametric Complexity of Operator Learning—0
Energy-Dissipative Evolutionary Deep Operator Neural Networks—0
Globally injective and bijective neural operators—0
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression—0
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles—0
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning—0
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular DynamicsCode0
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives—0
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution—0
Nonlocality and Nonlinearity Implies Universality in Operator Learning—0
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems—0
Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equationsCode0
Neural Operator Learning for Ultrasound Tomography InversionCode0
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL)—0
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