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pdes

11 papers

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neural operator (2) transformer (2) diverseno (1) probconserv (1) pinn (1) learnable slices (1) physical states (1) –crown (1) time-step acquisition (1) billion-parameter (1)

Papers

Active Learning with Selective Time-Step Acquisition for PDEs ICML 2025 Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators ICML 2025 Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries ICML 2025 Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers ICML 2025 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training ICML 2024 Efficient Error Certification for Physics-Informed Neural Networks ICML 2024 Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation MIDL 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision ICML 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries ICML 2024 Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs ICML 2024