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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 51–100 of 347 papers

TitleStatusHype
Fast PDE-constrained optimization via self-supervised operator learningCode1
In-Context Operator Learning with Data Prompts for Differential Equation ProblemsCode1
Fast Sampling of Diffusion Models via Operator LearningCode1
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform DataCode1
Operator Learning with Gaussian ProcessesCode1
Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization MethodsCode1
Continuum Attention for Neural OperatorsCode1
Operator Learning Using Random Features: A Tool for Scientific ComputingCode1
Physics-Informed Neural Operator for Learning Partial Differential EquationsCode1
Mesh-Informed Neural Operator : A Transformer Generative ApproachCode1
Equivariant Neural Operator Learning with Graphon ConvolutionCode1
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformationsCode1
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEsCode1
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load ConditionsCode1
An enrichment approach for enhancing the expressivity of neural operators with applications to seismologyCode1
Learning Efficient Abstract Planning Models that Choose What to PredictCode1
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator LearningCode1
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context LearningCode1
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential EquationsCode0
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural NetworksCode0
Convolutional Analysis Operator Learning: Acceleration and ConvergenceCode0
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific SimulationsCode0
Convolutional Analysis Operator Learning: Dependence on Training DataCode0
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian SensorsCode0
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time GeneralizationCode0
Operator learning without the adjointCode0
Nonlinear model reduction for operator learningCode0
Neural Operators for PDE Backstepping Control of First-Order Hyperbolic PIDE with Recycle and DelayCode0
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics SimulationsCode0
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEsCode0
On the Benefits of Active Data Collection in Operator LearningCode0
Cauchy Random Features for Operator Learning in Sobolev SpaceCode0
Neural Operator Learning for Ultrasound Tomography InversionCode0
Neural Functional: Learning Function to Scalar Maps for Neural PDE SurrogatesCode0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
Adversarial Autoencoders in Operator LearningCode0
Multi-Resolution Active Learning of Fourier Neural OperatorsCode0
On the influence of over-parameterization in manifold based surrogates and deep neural operatorsCode0
Leray-Schauder Mappings for Operator LearningCode0
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström methodCode0
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
LeMON: Learning to Learn Multi-Operator NetworksCode0
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equationsCode0
LNO: Laplace Neural Operator for Solving Differential EquationsCode0
DPHGNN: A Dual Perspective Hypergraph Neural NetworksCode0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problemsCode0
Diffeomorphically Learning Stable Koopman OperatorsCode0
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