operator learning

Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Learning Operators with Coupled Attention JMLR 2022 Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NeurIPS 2022 NOMAD: Nonlinear Manifold Decoders for Operator Learning NeurIPS 2022 Optimal Rates for Regularized Conditional Mean Embedding Learning NeurIPS 2022 Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022 Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022 Training Lipschitz Continuous Operators Using Reproducing Kernels L4DC 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 Choose a Transformer: Fourier or Galerkin NeurIPS 2021 Multiwavelet-based Operator Learning for Differential Equations NeurIPS 2021 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 Smooth Operators ICML 2013 Learning transport operators for image manifolds NeurIPS 2009