Maximizing information gain for the characterization of biomolecular circuits. - Tim Prangemeier; Christian Wildner; Maleen Hanst; Heinz Koeppl (NANOCOM, 2018)

Moment-Based Variational Inference for Markov Jump Processes. - Christian Wildner; Heinz Koeppl (ICML, 2019)

Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (CIBCB, 2020)

Moment-Based Variational Inference for Stochastic Differential Equations. - Christian Wildner; Heinz Koeppl (AISTATS, 2021)

Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. - Christoph Reich; Tim Prangemeier; Christian Wildner; Heinz Koeppl (MICCAI (8), 2021)

Tensor-train approximation of the chemical master equation and its application for parameter inference. - Ion Gabriel Ion; Christian Wildner; Dimitrios Loukrezis; Heinz Koeppl; Herbert De Gersem (CoRR, 2021)

Yeast cell segmentation in microstructured environments with deep learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (Biosyst., 2022)