PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

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Veröffentlicht in:AIAA SciTech Forum and Exposition (2021 : Online) Non-deterministic approaches
1. Verfasser: Ghosh, Sayan (VerfasserIn)
Weitere Verfasser: Padmanabha, Govinda A. (VerfasserIn), Peng, Cheng (VerfasserIn), Atkinson, Steven (VerfasserIn), Andreoli, Valeria (VerfasserIn), Pandita, Piyush (VerfasserIn), Vandeputte, Thomas (VerfasserIn), Zabaras, Nicholas (VerfasserIn), Wang, Liping (VerfasserIn), Khan, Genghis (VerfasserIn)
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Sprache:eng
Veröffentlicht: 2021
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