2 code implementations • 21 Aug 2022 • Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani
The Cox proportional hazards model is a canonical method in survival analysis for prediction of the life expectancy of a patient given clinical or genetic covariates -- it is a linear model in its original form.
no code implementations • 26 Jun 2017 • Ladislav Rampasek, Daniel Hidru, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg
We present two deep generative models based on Variational Autoencoders to improve the accuracy of drug response prediction.
no code implementations • 20 Aug 2018 • George A. Adam, Petr Smirnov, David Duvenaud, Benjamin Haibe-Kains, Anna Goldenberg
Many deep learning algorithms can be easily fooled with simple adversarial examples.
no code implementations • 16 Apr 2019 • George Adam, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg
We investigate the transferability of adversarial examples between models using the angle between the input-output Jacobians of different models.