14 citations · 23 across the 2 of their papers we have counts for
4 papers
Moment-Based Variational Inference for Stochastic Differential Equations
Christian Wildner, Heinz Koeppl
Existing deterministic variational inference approaches for diffusion processes use simple proposals and target the marginal density of the posterior. We construct the variational…
Maximizing Information Gain for the Characterization of Biomolecular Circuits
Tim Prangemeier, Christian Wildner, Maleen Hanst +1
Quantitatively predictive models of biomolecular circuits are important tools for the design of synthetic biology and molecular communication circuits. The information content of t…
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
Tim Prangemeier, Christian Wildner, André O. Françani +2
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data. The challenge is exasperated in the setting of microstructured envi…
Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner, Heinz Koeppl
We propose moment-based variational inference as a flexible framework for approximate smoothing of latent Markov jump processes. The main ingredient of our approach is to partition…