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Number of items: 4.

Wildner, Christian ; Koeppl, Heinz (2022):
Moment-Based Variational Inference for Stochastic Differential Equations. (Publisher's Version)
In: Proceedings of Machine Learning Research, 130, In: Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, pp. 1918-1926,
Darmstadt, PMLR, 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021, Virtual, 13.-15.04.2021, DOI: 10.26083/tuprints-00021512,
[Conference or Workshop Item]

Prangemeier, Tim ; Wildner, Christian ; Françani, André O. ; Reich, Christoph ; Koeppl, Heinz (2022):
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. (Postprint)
In: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),
Darmstadt, IEEE, IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB), Online, 27.-29.10.2020, ISBN 978-1-7281-9468-4,
DOI: 10.26083/tuprints-00021524,
[Conference or Workshop Item]

Wildner, Christian ; Koeppl, Heinz
PMLR (ed.) (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]

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]

This list was generated on Sat Sep 24 05:21:14 2022 CEST.