neural operator

Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023 Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NeurIPS 2023 Scalable Transformer for PDE Surrogate Modeling NeurIPS 2023 Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NeurIPS 2023 Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023 Super-Resolution Neural Operator CVPR 2023 Training neural operators to preserve invariant measures of chaotic attractors NeurIPS 2023 Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023 Variational Autoencoding Neural Operators ICML 2023 Learning Green's functions associated with time-dependent partial differential equations JMLR 2022 NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation NeurIPS 2022 Non-Linear Operator Approximations for Initial Value Problems ICLR 2022 PDEBench: An Extensive Benchmark for Scientific Machine Learning NeurIPS 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 Fourier Neural Operator for Parametric Partial Differential Equations ICLR 2021 Multiwavelet-based Operator Learning for Differential Equations NeurIPS 2021 Particle Flow Bayes’ Rule ICML 2019 Adversarial TableQA: Attention Supervision for Question Answering on Tables ACML 2018