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Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.

, , , , , и . GECCO Companion, стр. 2144-2151. ACM, (2023)

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Chia Ching Ooi

Elion Chin

Erika Chin

Chin Buranadham

Chin Jong Jun

 

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Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics., , , и . CoRR, (2021)Design of Turing Systems with Physics-Informed Neural Networks., , , , и . SSCI, стр. 1180-1186. IEEE, (2022)FastFlow: AI for Fast Urban Wind Velocity Prediction., , , , , и . ICDM (Workshops), стр. 147-154. IEEE, (2022)Generalizable Neural Physics Solvers by Baldwinian Evolution., , , , , , и . CoRR, (2023)Physics Compliance as a Metric for Neural Network Uncertainty., , , , , , и . SSCI, стр. 1-7. IEEE, (2022)Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design., , , , , , , , и . SSCI, стр. 1469-1475. IEEE, (2022)Learning in Sinusoidal Spaces With Physics-Informed Neural Networks., , , и . IEEE Trans. Artif. Intell., 5 (3): 985-1000 (марта 2024)Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design., , , , , , , , и . CoRR, (2023)Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results., , , , , и . GECCO Companion, стр. 2144-2151. ACM, (2023)Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates., , , и . SSCI, стр. 1669-1674. IEEE, (2022)