partial differential equation

Neural Oscillators for Generalization of Physics-Informed Machine Learning AAAI 2024 Neural Physical Simulation with Multi-Resolution Hash Grid Encoding AAAI 2024 Neural Spectral Methods: Self-supervised learning in the spectral domain ICLR 2024 On conditional diffusion models for PDE simulations NeurIPS 2024 Operator learning without the adjoint JMLR 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 Physics-informed machine learning as a kernel method COLT 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024 Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks ICLR 2024 PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks JMLR 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning ICML 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 RoPINN: Region Optimized Physics-Informed Neural Networks NeurIPS 2024 Scaling physics-informed hard constraints with mixture-of-experts ICLR 2024