Meta-learning Enabled Score-Based Generative Adversarial Networks (GANs)

Abstract The capacity of Generative Adversarial Networks (GANs) to provide high-quality data has led to their significant attention. On the other hand, hyperparameter adjustment is a common part of GAN training, which may increase computing costs and result in less-than-ideal performance on certain...

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Autores principales:	P. Navaneethakrishnan, Smitha Elsa Peter, Sishaj P. Simon, M. Irshad Ahamed
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2025-09-01
Colección:	International Journal of Computational Intelligence Systems
Materias:	Generative adversarial networks Anomaly detection Limited labeled data High speed rail MLSGAN Workload reduction
Acceso en línea:	https://doi.org/10.1007/s44196-025-00933-1
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