scientific computing

KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 OmniArch: Building Foundation Model for Scientific Computing ICML 2025 PRDP: Progressively Refined Differentiable Physics ICLR 2025 Rethinking Neural-based Matrix Inversion: Why can’t, and Where can AISTATS 2025 AI for Science in the Era of Large Language Models EMNLP 2024 DiffusionPDE: Generative PDE-Solving under Partial Observation NeurIPS 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 SciCode: A Research Coding Benchmark Curated by Scientists NeurIPS 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Towards Universal Mesh Movement Networks NeurIPS 2024 Clifford Neural Layers for PDE Modeling ICLR 2023 CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions NeurIPS 2023 Neural Q-learning for solving PDEs JMLR 2023 Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023 Scalable Transformer for PDE Surrogate Modeling NeurIPS 2023 A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs NeurIPS 2022 Multipole Graph Neural Operator for Parametric Partial Differential Equations NeurIPS 2020