Contributed Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
Jul 14, 2018·
·
0 min read
Louis Tiao
Stockholmsmässan. Stockholm, Sweden. Image credit: Edwin BonillaDate
Jul 14, 2018 3:20 PM — 3:30 PM
Location
Stockholm, Sweden
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.