Unsupervised Learning

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
We formalize the problem of learning interdomain correspondences in the absence of paired data as Bayesian inference in a latent …
Louis Tiao, Edwin v. Bonilla, Fabio Ramos
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Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
A Tutorial on Variational Autoencoders with a Concise Keras Implementation
An in-depth practical guide to variational encoders from a probabilistic perspective.
Louis Tiao
Last updated on Oct 16, 2022 24 min read Technical
A Tutorial on Variational Autoencoders with a Concise Keras Implementation