22 citations · 32 across the 6 of their papers we have counts for
6 papers
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Magda Amiridi, Gregory Darnell, Sean Jewell
Increased use of sensor signals from wearable devices as rich sources of physiological data has sparked growing interest in developing health monitoring systems to identify changes…
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
Jiacheng Zhu, Gregory Darnell, Agni Kumar +4
Heart rate variability (HRV) is a practical and noninvasive measure of autonomic nervous system activity, which plays an essential role in cardiovascular health. However, using HRV…
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
Wei Cheng, Gregory Darnell, Sohini Ramachandran +1
Variational Autoencoders (VAEs) have experienced recent success as data-generating models by using simple architectures that do not require significant fine-tuning of hyperparamete…
Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction
Li-Fang Cheng, Gregory Darnell, Bianca Dumitrascu +4
In the scenario of real-time monitoring of hospital patients, high-quality inference of patients' health status using all information available from clinical covariates and lab tes…
A Bayesian test to identify variance effects
Bianca Dumitrascu, Gregory Darnell, Julien Ayroles +1
Identifying genetic variants that regulate quantitative traits, or QTLs, is the primary focus of the field of statistical genetics. Most current methods are limited to identifying…
Adaptive Randomized Dimension Reduction on Massive Data
Gregory Darnell, Stoyan Georgiev, Sayan Mukherjee +1
The scalability of statistical estimators is of increasing importance in modern applications. One approach to implementing scalable algorithms is to compress data into a low dimens…