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Learning in Sinusoidal Spaces With Physics-Informed Neural Networks.

, , , and . IEEE Trans. Artif. Intell., 5 (3): 985-1000 (March 2024)

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Generalizable Neural Physics Solvers by Baldwinian Evolution., , , , , , and . CoRR, (2023)Physics Compliance as a Metric for Neural Network Uncertainty., , , , , , and . SSCI, page 1-7. IEEE, (2022)Time Series Segmentation as a Discovery Tool - A Case Study of the US and Japanese Financial Markets., , , , , , , and . KDIR, page 52-63. SciTePress, (2011)Learning in Sinusoidal Spaces with Physics-Informed Neural Networks., , , and . CoRR, (2021)CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method., , , , and . CoRR, (2021)Design of Turing Systems with Physics-Informed Neural Networks., , , , and . SSCI, page 1180-1186. IEEE, (2022)FastFlow: AI for Fast Urban Wind Velocity Prediction., , , , , and . ICDM (Workshops), page 147-154. IEEE, (2022)Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design., , , , , , , , and . CoRR, (2023)Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks., , , and . CoRR, (2021)Can Transfer Neuroevolution Tractably Solve Your Differential Equations?, , and . CoRR, (2021)