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

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

4 January 2021

Benyamin Ghojogh

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

19 / 19 papers shown

Title
Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review Benyamin Ghojogh Hadi Nekoei Aydin Ghojogh Fakhri Karray Mark Crowley 27 14 0 02 Nov 2020
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors Jincheng Bai Qifan Song Guang Cheng BDL 31 4 0 24 Oct 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley BDL 35 9 0 22 Sep 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 85 915 0 08 Jul 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 530 10,591 0 17 Feb 2020
Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function Stephen G. Odaibo GAN BDL DRL 56 55 0 21 Jul 2019
Unsupervised and Supervised Principal Component Analysis: Tutorial Benyamin Ghojogh Mark Crowley 40 31 0 01 Jun 2019
Eigenvalue and Generalized Eigenvalue Problems: Tutorial Benyamin Ghojogh Fakhri Karray Mark Crowley 77 124 0 25 Mar 2019
Fitting A Mixture Distribution to Data: Tutorial Benyamin Ghojogh Aydin Ghojogh Mark Crowley Fakhri Karray 35 16 0 20 Jan 2019
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 97 64 0 14 Sep 2018
Hamiltonian Variational Auto-Encoder Anthony L. Caterini Arnaud Doucet Dino Sejdinovic BDL DRL 57 95 0 29 May 2018
Implicit Reparameterization Gradients Michael Figurnov S. Mohamed A. Mnih BDL 113 235 0 22 May 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 174 486 0 21 Dec 2017
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures Gaëtan Hadjeres Frank Nielsen F. Pachet DRL 57 65 0 14 Jul 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 86 158 0 28 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 146 530 0 17 Jan 2017
Variational Autoencoder for Deep Learning of Images, Labels and Captions Yunchen Pu Zhe Gan Ricardo Henao Xin Yuan Chunyuan Li Andrew Stevens Lawrence Carin BDL CoGe 94 755 0 28 Sep 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders Jacob Walker Carl Doersch Abhinav Gupta M. Hebert VGen 45 513 0 25 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 101 1,749 0 19 Jun 2016