Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey

4 January 2021

Papers citing "Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey"

5 / 5 papers shown

Title
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 38 2 0 26 May 2024
Resetting a fixed broken ELBO R. Cukier BDL DRL 16 0 0 11 Dec 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 25 3 0 25 Mar 2022
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 31 12 0 26 Nov 2021