19 citations · 24 across the 7 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2023
Trading Information between Latents in Hierarchical Variational Autoencoders
Tim Z. Xiao, Robert Bamler
Variational Autoencoders (VAEs) were originally motivated (Kingma & Welling, 2014) as probabilistic generative models in which one performs approximate Bayesian inference. The prop…
stat.ML2022
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang, Andi Zhang, Tim Z. Xiao +2
Density-based Out-of-distribution (OOD) detection has recently been shown unreliable for the task of detecting OOD images. Various density ratio based approaches achieve good empir…
stat.ML2022★ 2 cited
Improving VAE-based Representation Learning
Mingtian Zhang, Tim Z. Xiao, Brooks Paige +1
Latent variable models like the Variational Auto-Encoder (VAE) are commonly used to learn representations of images. However, for downstream tasks like semantic classification, the…