1 citations · 1 across the 5 of their papers we have counts for
5 papers
Multiple latent orderings better predict language model preferences
Aviral Chawla, William H. W. Thompson, Jean-Gabriel Young
Language models are frequently employed in settings where they are asked to make value judgments and choices. These observed choices often exhibit intransitivity: A model may prefe…
Emergent contagion complexity: Disentangling mechanistic complexity from correlated heterogeneity
Katerina Tang, Daniel Kaiser, William Thompson +3
Simple and complex contagions differ mechanistically; multiple exposures act synergistically in the latter but independently in the former. Yet correlated mixtures of simple contag…
Simpson's paradox explains the ubiquity of nonlinear, threshold, and complex contagions
Laurent Hébert-Dufresne, Antoine Allard, Jean-Gabriel Young +2
Complex contagions describe systems where the probability or rate of contagious transmission is a nonlinear function of the exposure to contagious agents. These models were first s…
Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions
Mariah C. Boudreau, William H. W. Thompson, Christopher M. Danforth +2
Epidemic forecasting tools embrace the stochasticity and heterogeneity of disease spread to predict the growth and size of outbreaks. Conceptually, stochasticity and heterogeneity…
Reconstructing networks from simple and complex contagions
Nicholas W. Landry, William Thompson, Laurent Hébert-Dufresne +1
Network scientists often use complex dynamic processes to describe network contagions, but tools for fitting contagion models typically assume simple dynamics. Here, we address thi…