activity
20172021
most citedImproving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

280 citations · 387 across the 9 of their papers we have counts for

collaborators
Showing 2019 · cs.LGShow all

2 papers · 2 filters

cs.LG2019

Ensembles of Locally Independent Prediction Models

Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi +1

Ensembles depend on diversity for improved performance. Many ensemble training methods, therefore, attempt to optimize for diversity, which they almost always define in terms of di…

cs.LG2019★ 45 cited

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Xuefeng Peng, Yi Ding, David Wihl +6

Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the indi…