1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2020★ 1 cited
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
Wei Cheng, Gregory Darnell, Sohini Ramachandran +1
Variational Autoencoders (VAEs) have experienced recent success as data-generating models by using simple architectures that do not require significant fine-tuning of hyperparamete…
stat.ML2019
Interpreting Deep Neural Networks Through Variable Importance
Jonathan Ish-Horowicz, Dana Udwin, Seth Flaxman +2
While the success of deep neural networks (DNNs) is well-established across a variety of domains, our ability to explain and interpret these methods is limited. Unlike previously p…