Search Results for author:
Found 2 papers, 2 papers with code
A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian Computation
Evaluation of the strategy on different problems and numbers of parallel cores reveals speed-ups of typically 10-20% and up to 50% compared to the best established approach.
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
