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cs.LG2025
Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914
Fernanda Zapata Bascuñán, Darío Fernando Mendieta
This brief study focuses on the application of autoencoders to improve the quality of low-amplitude signals, such as gravitational events. A pre-existing autoencoder was trained us…
cs.LG2025
On the Shape of Latent Variables in a Denoising VAE-MoG: A Posterior Sampling-Based Study
Fernanda Zapata Bascuñán
In this work, we explore the latent space of a denoising variational autoencoder with a mixture-of-Gaussians prior (VAE-MoG), trained on gravitational wave data from event GW150914…