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 tiao.io
Density Ratio Estimation for KL Divergence Minimization between Implicit Distributions | Louis Tiao
| | jxmo.io
Introduction to variational autoencoders - Jack Morris
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | blog.fastforwardlabs.com
Under the Hood of the Variational Autoencoder (in Prose and Code)
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| | The Variational Autoencoder (VAE) neatly synthesizes unsupervised deep learning and variational Bayesian methods into one sleek package. In Part I of this series, we introduced the theory and intuition behind the VAE, an exciting development in machine learning for combined generative modeling and inference-"machines that imagine and reason." To recap: VAEs put a probabilistic spin on the basic autoencoder paradigm-treating their inputs, hidden representations, and reconstructed outputs as probabilistic ...
| | dustintran.com
Deep and Hierarchical Implicit Models | Dustin Tran
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| | I'm excited to announce a paper that Rajesh Ranganath, Dave Blei, andI released today on arXiv, titledDeep and Hierarchical Implicit Models.
| | sander.ai
My solution for the Galaxy Zoo challenge - Sander Dieleman
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| My solution for the Galaxy Zoo challenge using convolutional neural networks