469 citations · 2k across the 43 of their papers we have counts for
48 papers
Sequence Modeling with Multiresolution Convolutional Memory
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
Efficiently capturing the long-range patterns in sequential data sources salient to a given task -- such as classification and generative modeling -- poses a fundamental challenge.…
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi +1
Traditional models of glucose-insulin dynamics rely on heuristic parameterizations chosen to fit observations within a laboratory setting. However, these models cannot describe glu…
Granger Causality: A Review and Recent Advances
Ali Shojaie, Emily B. Fox
Introduced more than a half century ago, Granger causality has become a popular tool for analyzing time series data in many application domains, from economics and finance to genom…
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
Andrew C. Miller, Leon A. Gatys, Joseph Futoma +1
Machine learning models now commonly developed to screen, diagnose, or predict health conditions are evaluated with a variety of performance metrics. An important first ste…
Breiman's two cultures: You don't have to choose sides
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Breiman's classic paper casts data analysis as a choice between two cultures: data modelers and algorithmic modelers. Stated broadly, data modelers use simple, interpretable models…
Representing and Denoising Wearable ECG Recordings
Jeffrey Chan, Andrew C. Miller, Emily B. Fox
Modern wearable devices are embedded with a range of noninvasive biomarker sensors that hold promise for improving detection and treatment of disease. One such sensor is the single…