APA (7th ed.) Citation

Radev, S., Graw, F., Chen, S., Mutters, N. T., Eichel, V., Bärnighausen, T., & Köthe, U. (2021). OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany. PLoS Computational Biology, 17(10), . https://doi.org/10.1371/journal.pcbi.1009472

Chicago Style (17th ed.) Citation

Radev, Stefan, Frederik Graw, Simiao Chen, Nico T. Mutters, Vanessa Eichel, Till Bärnighausen, and Ullrich Köthe. "OutbreakFlow: Model-based Bayesian Inference of Disease Outbreak Dynamics with Invertible Neural Networks and Its Application to the COVID-19 Pandemics in Germany." PLoS Computational Biology 17, no. 10 (2021). https://doi.org/10.1371/journal.pcbi.1009472.

MLA (9th ed.) Citation

Radev, Stefan, et al. "OutbreakFlow: Model-based Bayesian Inference of Disease Outbreak Dynamics with Invertible Neural Networks and Its Application to the COVID-19 Pandemics in Germany." PLoS Computational Biology, vol. 17, no. 10, 2021, https://doi.org/10.1371/journal.pcbi.1009472.