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

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics AAAI 2026
PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation AAAI 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026
Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation AAAI 2026
Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention AAAI 2026
PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis AAAI 2026
SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs AAAI 2026
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations AAAI 2026
On the Dataless Training of Neural Networks AAAI 2026
Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Accurate Differential Operators for Hybrid Neural Fields CVPR 2025
Symbolic Neural Ordinary Differential Equations AAAI 2025
Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers EMNLP 2025
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP AAAI 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025
Dual-Balancing for Physics-Informed Neural Networks IJCAI 2025
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving IJCAI 2025
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems IJCAI 2025
Physics-informed Kernel Learning JMLR 2025
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries AAAI 2025
DRM Revisited: A Complete Error Analysis JMLR 2025