Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 251–300 of 347 papers

Title	Date	Tasks	Status	Hype
Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations	Apr 9, 2023	Operator learning	CodeCode Available	0
Neural Operator Learning for Ultrasound Tomography Inversion	Apr 6, 2023	Operator learning	CodeCode Available	0
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL)	Apr 3, 2023	Compressive SensingOperator learning	—Unverified	0
Operator learning with PCA-Net: upper and lower complexity bounds	Mar 28, 2023	Operator learning	—Unverified	0
Multiscale Attention via Wavelet Neural Operators for Vision Transformers	Mar 22, 2023	Inductive BiasOperator learning	—Unverified	0
Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data	Mar 20, 2023	Operator learningUncertainty Quantification	—Unverified	0
LNO: Laplace Neural Operator for Solving Differential Equations	Mar 19, 2023	Operator learning	CodeCode Available	0
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs	Mar 18, 2023	Operator learningScheduling	CodeCode Available	0
ViTO: Vision Transformer-Operator	Mar 15, 2023	Operator learningSuper-Resolution	—Unverified	0
Super-Resolution Neural Operator	Mar 5, 2023	Dimensionality ReductionOperator learning	CodeCode Available	0
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations	Mar 4, 2023	Operator learning	CodeCode Available	0
Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks	Mar 3, 2023	Operator learning	—Unverified	0
GNOT: A General Neural Operator Transformer for Operator Learning	Feb 28, 2023	Operator learning	CodeCode Available	1
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design	Feb 25, 2023	Operator learning	CodeCode Available	1
Variational Autoencoding Neural Operators	Feb 20, 2023	Operator learning	—Unverified	0
Fourier-RNNs for Modelling Noisy Physics Data	Feb 13, 2023	Operator learningTime Series	—Unverified	0
Physics informed WNO	Feb 12, 2023	Operator learning	—Unverified	0
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning	Feb 7, 2023	Data AugmentationDecoder	—Unverified	0
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations	Feb 7, 2023	Operator learning	CodeCode Available	0
Sharp Spectral Rates for Koopman Operator Learning	Feb 3, 2023	Operator learning	CodeCode Available	1
DCEM: A deep complementary energy method for solid mechanics	Feb 3, 2023	Operator learning	CodeCode Available	1
Convolutional Neural Operators for robust and accurate learning of PDEs	Feb 2, 2023	Operator learningPDE Surrogate Modeling	CodeCode Available	2
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations	Feb 2, 2023	Operator learning	—Unverified	0
Randomized prior wavelet neural operator for uncertainty quantification	Feb 2, 2023	Operator learningUncertainty Quantification	—Unverified	0
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning	Jan 30, 2023	AllOperator learning	—Unverified	0
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators	Jan 29, 2023	Operator learning	—Unverified	0
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs	Jan 28, 2023	Operator learning	—Unverified	0
Neural Inverse Operators for Solving PDE Inverse Problems	Jan 26, 2023	Operator learning	—Unverified	0
Forecasting subcritical cylinder wakes with Fourier Neural Operators	Jan 19, 2023	Operator learning	—Unverified	0
On the limits of neural network explainability via descrambling	Jan 18, 2023	Graph MatchingOperator learning	CodeCode Available	0
Improved generalization with deep neural operators for engineering systems: Path towards digital twin	Jan 17, 2023	Operator learning	—Unverified	0
Guiding continuous operator learning through Physics-based boundary constraints	Dec 14, 2022	Operator learning	CodeCode Available	1
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis	Dec 1, 2022	Learning TheoryOperator learning	—Unverified	0
Transform Once: Efficient Operator Learning in Frequency Domain	Nov 26, 2022	Dimensionality ReductionOperator learning	CodeCode Available	1
Fast Sampling of Diffusion Models via Operator Learning	Nov 24, 2022	Operator learning	CodeCode Available	1
Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems	Nov 22, 2022	Operator learning	—Unverified	0
Learning dynamical systems: an example from open quantum system dynamics	Nov 12, 2022	Operator learning	CodeCode Available	1
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning	Nov 2, 2022	Operator learningQuantum Machine Learning	CodeCode Available	0
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis	Oct 24, 2022	Operator learningvalid	—Unverified	0
Mitigating spectral bias for the multiscale operator learning	Oct 19, 2022	Operator learning	—Unverified	0
A Kernel Approach for PDE Discovery and Operator Learning	Oct 14, 2022	Operator learning	—Unverified	0
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities	Oct 3, 2022	Operator learning	—Unverified	0
Minimax Optimal Kernel Operator Learning via Multilevel Training	Sep 28, 2022	Causal InferenceMulti-agent Reinforcement Learning	—Unverified	0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator	Sep 25, 2022	Computational EfficiencyOperator learning	—Unverified	0
Learning Efficient Abstract Planning Models that Choose What to Predict	Aug 16, 2022	Decision MakingOperator learning	CodeCode Available	1
Multi-fidelity wavelet neural operator with application to uncertainty quantification	Aug 11, 2022	Operator learningUncertainty Quantification	—Unverified	0
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations	Aug 2, 2022	Operator learningVocal Bursts Intensity Prediction	—Unverified	0
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers	Jul 23, 2022	Operator learningUncertainty Quantification	—Unverified	0
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation	Jul 5, 2022	Operator learning	—Unverified	0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations	Jun 12, 2022	Bayesian InferenceOperator learning	—Unverified	0

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