618 citations · 1.9k across the 59 of their papers we have counts for
7 papers · 1 filter
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
Aahlad Puli, Nitish Joshi, Yoav Wald +2
In prediction tasks, there exist features that are related to the label in the same way across different settings for that task; these are semantic features or semantics. Features…
From algorithms to action: improving patient care requires causality
Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff +2
In cancer research there is much interest in building and validating outcome predicting outcomes to support treatment decisions. However, because most outcome prediction models are…
Survival Mixture Density Networks
Xintian Han, Mark Goldstein, Rajesh Ranganath
Survival analysis, the art of time-to-event modeling, plays an important role in clinical treatment decisions. Recently, continuous time models built from neural ODEs have been pro…
DIET: Conditional independence testing with marginal dependence measures of residual information
Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey +1
Conditional randomization tests (CRTs) assess whether a variable is predictive of another variable , having observed covariates . CRTs require fitting a large number of p…
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Lily H. Zhang, Veronica Tozzo, John M. Higgins +1
Permutation invariant neural networks are a promising tool for making predictions from sets. However, we show that existing permutation invariant architectures, Deep Sets and Set T…
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography
Hao Zhang, Neil Jethani, Aahlad Puli +4
Diabetes has a long asymptomatic period which can often remain undiagnosed for multiple years. In this study, we trained a deep learning model to detect new-onset diabetes using 12…