conftrace_

partial differential equation

222 papers

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Also known as

PDE

Co-occurring keywords

physics-informed neural network (97) neural network (6616) neural operator (74) operator learning (48) neural network optimization (1293) scientific machine learning (23) graph neural network (3962) inverse problem (240) physics-informed learning (66) fourier neural operator (22)

Papers

A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NIPS 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NIPS 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding AAAI 2024
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NIPS 2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning AAAI 2024
Poseidon: Efficient Foundation Models for PDEs NIPS 2024
Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
Derivative-enhanced Deep Operator Network NIPS 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NIPS 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries IJCAI 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks JMLR 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024
Operator learning without the adjoint JMLR 2024
Deep Backward and Galerkin Methods for the Finite State Master Equation JMLR 2024
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling JMLR 2024
Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation NIPS 2024
Physics-informed machine learning as a kernel method COLT 2024