Suchergebnisse - "Hierarchical variational autoencoder (HVAE)"

Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution von Fathnejat, Hamed, Nava, Vincenzo

“… Developing digital twin and condition monitoring models for Floating Offshore Wind Turbines (FOWTs) mooring systems requires massive data across various …”
Volltext

Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling von Qian, Dong, Cheung, William K.

“… Variational autoencoders (VAEs) are a class of effective deep generative models, with the objective to approximate the true, but unknown data distribution …”
Volltext