Tech Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
Jun 15, 2019·
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0 min read
Louis Tiao
Date
Jun 15, 2019 1:00 PM — 2:00 PM
Location
Berlin, Germany
Generative Adversarial Networks
Generative Models
Variational Inference
Probabilistic Models
Unsupervised Learning
Density Ratio Estimation
Latent Variable Models
Machine Learning
Authors
Research Scientist
My name is Louis Tiao, and I graduated from one of Australia’s
top engineering schools with really good grades.
Now, I’m using my knowledge to help up-and-coming tech companies
make it in this competitive world.