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Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications., , , , , , and . CoRR, (2022)MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 39702-39721. PMLR, (2023)Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions., , , , , and . ChineseCSCW (2), volume 2013 of Communications in Computer and Information Science, page 406-421. Springer, (2023)Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip., , , , , , and . Neurocomputing, (2021)Reward Informed Dreamer for Task Generalization in Reinforcement Learning., , , , , , , and . CoRR, (2023)GNOT: A General Neural Operator Transformer for Operator Learning., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 12556-12569. PMLR, (2023)PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs., , , , , , , , , and 1 other author(s). CoRR, (2023)Preconditioning for Physics-Informed Neural Networks., , , , , , and . CoRR, (2024)Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data., , , , , and . ChineseCSCW (1), volume 2012 of Communications in Computer and Information Science, page 222-239. Springer, (2023)DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training., , , , , , , , and . CoRR, (2024)