| A Library for Learning Neural Operators | Dec 13, 2024 | Operator learning | CodeCode Available | 7 | 5 |
| Neural Operators with Localized Integral and Differential Kernels | Feb 26, 2024 | Operator learning | CodeCode Available | 4 | 5 |
| Guaranteed Approximation Bounds for Mixed-Precision Neural Operators | Jul 27, 2023 | GPUOperator learning | CodeCode Available | 4 | 5 |
| Poseidon: Efficient Foundation Models for PDEs | May 29, 2024 | Operator learning | CodeCode Available | 3 | 5 |
| Convolutional Neural Operators for robust and accurate learning of PDEs | Feb 2, 2023 | Operator learningPDE Surrogate Modeling | CodeCode Available | 2 | 5 |
| Neural Operator: Learning Maps Between Function Spaces | Aug 19, 2021 | Operator learning | CodeCode Available | 2 | 5 |
| PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws | Jan 14, 2024 | Operator learning | CodeCode Available | 2 | 5 |
| CViT: Continuous Vision Transformer for Operator Learning | May 22, 2024 | Operator learning | CodeCode Available | 2 | 5 |
| Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows | May 27, 2024 | Computational EfficiencyDe-aliasing | CodeCode Available | 2 | 5 |
| Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains | May 24, 2025 | Computational EfficiencyOperator learning | CodeCode Available | 2 | 5 |
| Equivariant Graph Neural Operator for Modeling 3D Dynamics | Jan 19, 2024 | Operator learning | CodeCode Available | 2 | 5 |
| Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere | Jun 6, 2023 | Operator learning | CodeCode Available | 2 | 5 |
| Operator Learning Using Random Features: A Tool for Scientific Computing | Aug 12, 2024 | Operator learningregression | CodeCode Available | 1 | 5 |
| Generative AI for fast and accurate statistical computation of fluids | Sep 27, 2024 | Operator learning | CodeCode Available | 1 | 5 |
| Operator Learning with Gaussian Processes | Sep 6, 2024 | Gaussian ProcessesOperator learning | CodeCode Available | 1 | 5 |
| NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data | May 30, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Mesh-Informed Neural Operator : A Transformer Generative Approach | Jun 20, 2025 | Operator learning | CodeCode Available | 1 | 5 |
| Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods | Nov 20, 2023 | Operator learningTime Series | CodeCode Available | 1 | 5 |
| Operator Learning with Neural Fields: Tackling PDEs on General Geometries | Jun 12, 2023 | Operator learningSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
| Learning dynamical systems: an example from open quantum system dynamics | Nov 12, 2022 | Operator learning | CodeCode Available | 1 | 5 |
| Sharp Spectral Rates for Koopman Operator Learning | Feb 3, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Learning Operators with Coupled Attention | Jan 4, 2022 | Operator learning | CodeCode Available | 1 | 5 |
| Fast PDE-constrained optimization via self-supervised operator learning | Oct 25, 2021 | Operator learning | CodeCode Available | 1 | 5 |
| Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics? | Oct 28, 2024 | Computational EfficiencyMamba | CodeCode Available | 1 | 5 |
| Deep transfer operator learning for partial differential equations under conditional shift | Apr 20, 2022 | Domain AdaptationOperator learning | CodeCode Available | 1 | 5 |
| Equivariant Neural Operator Learning with Graphon Convolution | Nov 17, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Fast Sampling of Diffusion Models via Operator Learning | Nov 24, 2022 | Operator learning | CodeCode Available | 1 | 5 |
| Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs | Jul 4, 2024 | Operator learningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Deep Learning Computed Tomography based on the Defrise and Clack Algorithm | Mar 1, 2024 | Deep LearningOperator learning | CodeCode Available | 1 | 5 |
| An operator learning perspective on parameter-to-observable maps | Feb 8, 2024 | Operator learning | CodeCode Available | 1 | 5 |
| In-Context Operator Learning with Data Prompts for Differential Equation Problems | Apr 17, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Learning Efficient Abstract Planning Models that Choose What to Predict | Aug 16, 2022 | Decision MakingOperator learning | CodeCode Available | 1 | 5 |
| Improved architectures and training algorithms for deep operator networks | Oct 4, 2021 | Operator learning | CodeCode Available | 1 | 5 |
| A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries | Apr 3, 2025 | DecoderMeta-Learning | CodeCode Available | 1 | 5 |
| Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning | Feb 24, 2024 | In-Context LearningOperator learning | CodeCode Available | 1 | 5 |
| Guiding continuous operator learning through Physics-based boundary constraints | Dec 14, 2022 | Operator learning | CodeCode Available | 1 | 5 |
| A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems | Dec 12, 2024 | Operator learning | CodeCode Available | 1 | 5 |
| Improved Operator Learning by Orthogonal Attention | Oct 19, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers | Nov 24, 2021 | Computational EfficiencyOperator learning | CodeCode Available | 1 | 5 |
| Deciphering and integrating invariants for neural operator learning with various physical mechanisms | Nov 24, 2023 | Operator learningSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design | Feb 25, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Basis-to-Basis Operator Learning Using Function Encoders | Sep 30, 2024 | Operator learning | CodeCode Available | 1 | 5 |
| Diffeomorphism Neural Operator for various domains and parameters of partial differential equations | Feb 19, 2024 | Operator learning | CodeCode Available | 1 | 5 |
| Kernel Methods are Competitive for Operator Learning | Apr 26, 2023 | Operator learningUncertainty Quantification | CodeCode Available | 1 | 5 |
| Continuum Attention for Neural Operators | Jun 10, 2024 | Operator learning | CodeCode Available | 1 | 5 |
| Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning | Jun 12, 2025 | Operator learning | CodeCode Available | 1 | 5 |
| DCEM: A deep complementary energy method for solid mechanics | Feb 3, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| An enrichment approach for enhancing the expressivity of neural operators with applications to seismology | Jun 7, 2023 | Operator learning | CodeCode Available | 1 | 5 |
| Multiwavelet-based Operator Learning for Differential Equations | Sep 28, 2021 | Operator learning | CodeCode Available | 1 | 5 |
| A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations | Mar 28, 2024 | Operator learning | CodeCode Available | 1 | 5 |
