neural operator

Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations NeurIPS 2024 Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NeurIPS 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 Pontryagin neural operator for solving general-sum differential games with parametric state constraints L4DC 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NeurIPS 2024 PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling NeurIPS 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 Towards General Neural Surrogate Solvers with Specialized Neural Accelerators ICML 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NeurIPS 2024 Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs ICML 2024 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023 Equivariant Neural Operator Learning with Graphon Convolution NeurIPS 2023 Fast Sampling of Diffusion Models via Operator Learning ICML 2023 Globally injective and bijective neural operators NeurIPS 2023 GNOT: A General Neural Operator Transformer for Operator Learning ICML 2023 Guiding continuous operator learning through Physics-based boundary constraints ICLR 2023 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023 Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts ICLR 2023 Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NeurIPS 2023 Nonparametric Boundary Geometry in Physics Informed Deep Learning NeurIPS 2023 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023 Operator Learning for Nonlinear Adaptive Control L4DC 2023 Operator Learning with Neural Fields: Tackling PDEs on General Geometries NeurIPS 2023