partial differential equation

Adaptive Fourier Decomposition-guided Neural Operator Design for Inverse PDE Problems UAI 2026 A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equation JMLR 2026 Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation AAAI 2026 Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems L4DC 2026 Learning to Solve PDEs on Neural Shape Representations CVPR 2026 MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention CVPR 2026 NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training CVPR 2026 On the Dataless Training of Neural Networks AAAI 2026 PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis AAAI 2026 PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation AAAI 2026 PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations AAAI 2026 Physics-Informed Neural Operators for Cardiac Electrophysiology L4DC 2026 PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics AAAI 2026 Plug-and-Play PDE Optimization for 3D Gaussian Splatting: Toward High-Quality Rendering and Reconstruction CVPR 2026 SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs AAAI 2026 Statistical Learning Theory for Neural Operators JMLR 2026 STDE++: Polynomial-Time Amortization for Linear Differential Operators JMLR 2026 SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026 Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention AAAI 2026 Accurate Differential Operators for Hybrid Neural Fields CVPR 2025 Active Learning for Neural PDE Solvers ICLR 2025 AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries AAAI 2025 ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning ICLR 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 Beyond Blur: A Fluid Perspective on Generative Diffusion Models ICCV 2025