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neural operator

74 papers

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Also known as

NEOP NO

Co-occurring keywords

partial differential equation (222) operator learning (48) attention mechanism (4001) latent space (854) spectral method (204) fourier transform (97) scientific machine learning (23) neural network (6616) fluid dynamics (38) diffusion model (3751)

Papers

Poseidon: Efficient Foundation Models for PDEs NIPS 2024
Pontryagin neural operator for solving general-sum differential games with parametric state constraints L4DC 2024
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling NIPS 2024
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling JMLR 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NIPS 2024
Generalizing across Temporal Domains with Koopman Operators AAAI 2024
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems AAAI 2024
Component Fourier Neural Operator for Singularly Perturbed Differential Equations AAAI 2024
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations NIPS 2024
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution NAACL 2024
Derivative-enhanced Deep Operator Network NIPS 2024
Alias-Free Mamba Neural Operator NIPS 2024
Neural Krylov Iteration for Accelerating Linear System Solving NIPS 2024
Can neural operators always be continuously discretized? NIPS 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator IJCAI 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NIPS 2024
FUSE: Fast Unified Simulation and Estimation for PDEs NIPS 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024
Neural operators for boundary stabilization of stop-and-go traffic L4DC 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NIPS 2024
Latent Neural Operator for Solving Forward and Inverse PDE Problems NIPS 2024
Equivariant Neural Operator Learning with Graphon Convolution NIPS 2023
Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023
Scalable Transformer for PDE Surrogate Modeling NIPS 2023