Flexible statistical inference for mechanistic models of neural dynamics. - Jan-Matthis Lueckmann; Pedro J. Gonçalves; Giacomo Bassetto; Kaan Öcal; Marcel Nonnenmacher; Jakob H. Macke (NIPS, 2017)

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. - Marcel Nonnenmacher; Srinivas C. Turaga; Jakob H. Macke (NIPS, 2017)

Signatures of criticality arise from random subsampling in simple population models. - Marcel Nonnenmacher; Christian Behrens; Philipp Berens; Matthias Bethge; Jakob H. Macke (PLoS Comput. Biol., 2017)

Automatic Posterior Transformation for Likelihood-Free Inference. - David S. Greenberg; Marcel Nonnenmacher; Jakob H. Macke (ICML, 2019)