research
∙
05/26/2023
Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference
Deep neural networks (DNNs) have found successful applications in many f...
share
research
∙
08/29/2022
Temporal Label Smoothing for Early Prediction of Adverse Events
Models that can predict adverse events ahead of time with low false-alar...
research
∙
07/09/2019
Multivariate Time Series Imputation with Variational Autoencoders
Multivariate time series with missing values are common in many areas, f...
research
∙
01/23/2019
Deep Mean Functions for Meta-Learning in Gaussian Processes
Fitting machine learning models in the low-data limit is challenging. Th...
research
∙
06/06/2018
