350 citations · 3.1k across the 39 of their papers we have counts for
3 papers · 1 filter
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
Alejandro Schuler, David Walsh, Diana Hall +2
Estimating causal effects from randomized experiments is central to clinical research. Reducing the statistical uncertainty in these analyses is an important objective for statisti…
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks
Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot +3
Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a Conditional R…
Boltzmann Encoded Adversarial Machines
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh
Restricted Boltzmann Machines (RBMs) are a class of generative neural network that are typically trained to maximize a log-likelihood objective function. We argue that likelihood-b…