Co-occurring keywords · papers mentioning both
Papers
Derivative-enhanced Deep Operator Network
NeurIPS 2024
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
NeurIPS 2024
DiffusionPDE: Generative PDE-Solving under Partial Observation
NeurIPS 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
NeurIPS 2024
Efficient Error Certification for Physics-Informed Neural Networks
ICML 2024
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains
AAAI 2024
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
JMLR 2024
FUSE: Fast Unified Simulation and Estimation for PDEs
NeurIPS 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries
IJCAI 2024
GeONet: a neural operator for learning the Wasserstein geodesic
UAI 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
ICML 2024
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
ICML 2024
How does PDE order affect the convergence of PINNs?
NeurIPS 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
AAAI 2024
Latent Neural Operator for Solving Forward and Inverse PDE Problems
NeurIPS 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations
NeurIPS 2024
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
ICLR 2024
Liouville Flow Importance Sampler
ICML 2024
MgNO: Efficient Parameterization of Linear Operators via Multigrid
ICLR 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
ICML 2024
Neural Inverse Source Problem
CoRL 2024
Neural operators for boundary stabilization of stop-and-go traffic
L4DC 2024
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
ICML 2024