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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 151–175 of 347 papers

TitleStatusHype
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems—0
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators—0
Conformal Prediction on Quantifying Uncertainty of Dynamic Systems—0
In-Context Operator Learning for Linear Propagator Models—0
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs—0
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations—0
OmniFluids: Unified Physics Pre-trained Modeling of Fluid Dynamics—0
Super Resolution Based on Deep Operator Networks—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
ViTO: Vision Transformer-Operator—0
Invertible Koopman neural operator for data-driven modeling of partial differential equations—0
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution—0
Nonparametric Sparse Online Learning of the Koopman Operator—0
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning—0
KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics—0
Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future—0
The Parametric Complexity of Operator Learning—0
Nonlocality and Nonlinearity Implies Universality in Operator Learning—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
Latent Neural Operator Pretraining for Solving Time-Dependent PDEs—0
Learning cardiac activation and repolarization times with operator learning—0
Component Fourier Neural Operator for Singularly Perturbed Differential Equations—0
Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control—0
Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability—0
Learning Hamiltonian Density Using DeepONet—0
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