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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 301–347 of 347 papers

TitleStatusHype
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator LearningCode0
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis—0
Mitigating spectral bias for the multiscale operator learning—0
A Kernel Approach for PDE Discovery and Operator Learning—0
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities—0
Minimax Optimal Kernel Operator Learning via Multilevel Training—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
Multi-fidelity wavelet neural operator with application to uncertainty quantification—0
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations—0
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers—0
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation—0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations—0
NOMAD: Nonlinear Manifold Decoders for Operator Learning—0
Memory-efficient model-based deep learning with convergence and robustness guarantees—0
Variable-Input Deep Operator Networks—0
Generic bounds on the approximation error for physics-informed (and) operator learning—0
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms—0
Wavelet neural operator: a neural operator for parametric partial differential equations—0
Error-in-variables modelling for operator learning—0
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems—0
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems—0
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation MeasurementsCode0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
On the influence of over-parameterization in manifold based surrogates and deep neural operatorsCode0
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural NetworksCode0
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning—0
Diffeomorphically Learning Stable Koopman OperatorsCode0
Improved Model based Deep Learning using Monotone Operator Learning (MOL)—0
Solving PDE-constrained Control Problems Using Operator Learning—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—0
Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future—0
One-shot learning for solution operators of partial differential equations—0
Learning the Update Operator for 2D/3D Image Registration—0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators—0
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm—0
Convolutional Analysis Operator Learning: Dependence on Training DataCode0
Analysis of Fast Structured Dictionary Learning—0
Convolutional Analysis Operator Learning: Acceleration and ConvergenceCode0
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
Image operator learning coupled with CNN classification and its application to staff line removal—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Image Fusion With Cosparse Analysis Operator—0
Online and Stable Learning of Analysis Operators—0
Separable Cosparse Analysis Operator Learning—0
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs—0
Analysis Operator Learning and Its Application to Image Reconstruction—0
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