BCS Team Members

Christian Wildner

PhD student

Contact

work +49 6151 16-57 238
fax +49 6151 16-57 241

Work S3/19 1.3
Rundeturmstraße 12
64283 Darmstadt

Christian Wildner studied physics at Technische Universitat Darmstadt and joined BCS in January 2017. During his Master’s project, he worked on simulations of fluorescence correlation spectroscopy experiments, where he also became interested in statistical inference.

At BCS he has shifted focus towards developing inference techniques for stochastic reaction systems.

Possible student projects you can be found here.

Publications

Prangemeier, T. ; Reich, C. ; Wildner, C. ; Koeppl, H. (2021):
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
Strasbourg, France, Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, September 27 - October 1, 2021, [Conference or Workshop Item]

Ion, G. I. ; Wildner, C. ; Loukrezis, D. ; Koeppl, H. ; De Gersem, H. (2021):
Tensor-train approximation of the chemical master equation and its application for parameter inference.
In: The Journal of Chemical Physics, 155 (034102), ISSN 0021-9606,
DOI: 10.1063/5.0045521,
[Article]

Wildner, C. ; Koeppl, H. (2021):
Moment-Based Variational Inference for Stochastic Differential Equations.
24th International Conference on Artificial Intelligence and Statistics (AISTATS), virtual Conference, 13.-15.04.2021, [Conference or Workshop Item]

Prangemeier, Tim ; Wildner, C. ; Francani, A. O. ; Reich, C. ; Koeppl, H. (2020):
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
IEEE, International Conference on Computational Intelligence in Bioinformatics and Computational Biology, virtual Conference, October 27-29, 2020, [Conference or Workshop Item]

Wildner, Christian ; Koeppl, Heinz
PMLR (Corporate Creator) (2019):
Moment-Based Variational Inference for Markov Jump Processes.
In: PMLR, 97, In: Proceedings of Machine Learning Research, pp. 6766-6775,
International Conference on Machine Learning, Long Beach, California, USA, June 9-15, 2019, ISSN 2640-3498,
[Conference or Workshop Item]

Prangemeier, Tim ; Wildner, C. ; Hanst, M. ; Köppl, H. (2018):
Maximizing information gain for the characterization of biomolecular circuits.
5th ACM International Conference on Nanoscale Computing and Communication (NANOCOM'18), Reykjavik, Iceland, September 05 - 07, 2018, DOI: 10.1145/3233188.3233217,
[Conference or Workshop Item]

Schmitt, Christoph K. ; Wildner, Christian ; Drossel, Barbara (2016):
Noisy predator-prey model explains oscillation patterns in sockeye salmon data.
In: Journal of theoretical biology, 389, pp. 198-205. Academic Press, [Article]