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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 176–200 of 347 papers

TitleStatusHype
The Sample Complexity of Learning Lipschitz Operators with respect to Gaussian Measures—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Learning Operators with Stochastic Gradient Descent in General Hilbert Spaces—0
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning—0
Learning the Hodgkin-Huxley Model with Operator Learning Techniques—0
Learning the Update Operator for 2D/3D Image Registration—0
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids—0
Waveformer for modelling dynamical systems—0
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention—0
Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models—0
Active operator learning with predictive uncertainty quantification for partial differential equations—0
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics—0
LNO: Laplace Neural Operator for Solving Differential Equations—0
Local monotone operator learning using non-monotone operators: MnM-MOL—0
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm—0
M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method—0
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation—0
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers—0
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation—0
MgNO: Efficient Parameterization of Linear Operators via Multigrid—0
Minimax Optimal Kernel Operator Learning via Multilevel Training—0
Mitigating Stop-and-Go Traffic Congestion with Operator Learning—0
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning—0
MODNO: Multi Operator Learning With Distributed Neural Operators—0
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