229 citations · 371 across the 11 of their papers we have counts for
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cs.LG2017★ 34 cited
Dropout Feature Ranking for Deep Learning Models
Chun-Hao Chang, Ladislav Rampasek, Anna Goldenberg
Deep neural networks (DNNs) achieve state-of-the-art results in a variety of domains. Unfortunately, DNNs are notorious for their non-interpretability, and thus limit their applica…
stat.ML2017★ 23 cited
Dr.VAE: Drug Response Variational Autoencoder
Ladislav Rampasek, Daniel Hidru, Petr Smirnov +2
We present two deep generative models based on Variational Autoencoders to improve the accuracy of drug response prediction. Our models, Perturbation Variational Autoencoder and it…