SOTAVerified

Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

Showing 151–175 of 347 papers

TitleStatusHype
Data Complexity Estimates for Operator Learning—0
Data-Driven, ML-assisted Approaches to Problem Well-Posedness—0
Data-driven operator learning for energy-efficient building control—0
Data-efficient operator learning for solving high Mach number fluid flow problems—0
Deep Koopman Learning using Noisy Data—0
DeepOFormer: Deep Operator Learning with Domain-informed Features for Fatigue Life Prediction—0
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning—0
DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs—0
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training—0
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles—0
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs—0
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks—0
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis—0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
Dilated convolution neural operator for multiscale partial differential equations—0
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors—0
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning—0
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains—0
Discretization Error of Fourier Neural Operators—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)—0
Domain Adaptive Safety Filters via Deep Operator Learning—0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems—0
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