conftrace_

operator learning

48 papers

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Co-occurring keywords

partial differential equation (222) neural operator (74) reproducing kernel hilbert space (334) neural network (6616) physics-informed neural network (97) attention mechanism (4001) surrogate model (181) scientific computing (15) deep operator network (4) deep neural network (1803)

Papers

Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NIPS 2023
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives NIPS 2023
Globally injective and bijective neural operators NIPS 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries NIPS 2023
Operator Learning for Nonlinear Adaptive Control L4DC 2023
Variational Autoencoding Neural Operators ICML 2023
Convolutional Neural Operators for robust and accurate learning of PDEs NIPS 2023
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022
Training Lipschitz Continuous Operators Using Reproducing Kernels L4DC 2022
Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022
Transform Once: Efficient Operator Learning in Frequency Domain NIPS 2022
NOMAD: Nonlinear Manifold Decoders for Operator Learning NIPS 2022
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NIPS 2022
Generic bounds on the approximation error for physics-informed (and) operator learning NIPS 2022
Learning Operators with Coupled Attention JMLR 2022
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021
Choose a Transformer: Fourier or Galerkin NIPS 2021
Multiwavelet-based Operator Learning for Differential Equations NIPS 2021
Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015
Smooth Operators ICML 2013
Learning transport operators for image manifolds NIPS 2009