Publications

The EMUNE project has resulted in the following publications:

Missing data in amortized simulation-based neural posterior estimation.
Zijian Wang, Jan Hasenauer, Yannik Schälte. bioRxiv preprint (2023). Link

pyABC: Efficient and robust easy-to-use approximate Bayesian computation.
Yannik Schälte, Emmanuel Klinger, Emad Alamoudi, and Jan Hasenauer. arXiv preprint arXiv:2203.13043 (2022). Link

FrEIA: Framework for Easily Invertible Architectures.
Lynton Ardizzone and the FrEIA Developer Team, 2018-2022. Github

BayesFlow: Library for Simulation-based Bayesian Parameter Estimation and Model Comparison.
Stefan Radev and the BayesFlow Developer Team, 2019-2022. Github

Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation.
Yannik Schälte and Jan Hasenauer. bioRxiv (2022). Link