C

Cui, Kai ; Koeppl, Heinz (2022):
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. (Publisher's Version)
In: Proceedings of Machine Learning Research, 130, In: Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, pp. 1909-1917,
Darmstadt, PMLR, 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021, Virtual, 13.-15.04.2021, DOI: 10.26083/tuprints-00021511,
[Conference or Workshop Item]

E

Engelmann, Nicolai ; Linzner, Dominik ; Koeppl, Heinz (2022):
Continuous Time Bayesian Networks with Clocks. (Publisher's Version)
In: Proceedings of Machine Learning Research, 119, In: Proceedings of the 37th International Conference on Machine Learning, pp. 2912-2921,
Darmstadt, PMLR, 37th International Conference on Machine Learning, Online, 12.-18.07.2020, DOI: 10.26083/tuprints-00021516,
[Conference or Workshop Item]

K

Kar, Sounak ; Rehrmann, Robin ; Mukhopadhyay, Arpan ; Alt, Bastian ; Ciucu, Florin ; Koeppl, Heinz ; Binnig, Carsten ; Rizk, Amr (2022):
On the Throughput Optimization in Large-scale Batch-processing Systems. (Postprint)
In: Performance Evaluation, 144, Elsevier, ISSN 0166-5316,
DOI: 10.26083/tuprints-00021522,
[Article]

Khuda Bukhsh, Wasiur R. ; Kar, Sounak ; Alt, Bastian ; Rizk, Amr ; Koeppl, Heinz (2022):
Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems. (Postprint)
In: IEEE Transactions on Parallel and Distributed Systems, 31 (11), IEEE, ISSN 1045-9219,
DOI: 10.26083/tuprints-00021667,
[Article]

Kruk, Nikita ; Carrillo, José A. ; Koeppl, Heinz (2022):
Traveling bands, clouds, and vortices of chiral active matter. (Publisher's Version)
In: Physical Review E, 102 (2), American Physical Society, ISSN 2470-0045,
DOI: 10.26083/tuprints-00021567,
[Article]

Kruk, Nikita ; Maistrenko, Yuriy ; Koeppl, Heinz (2022):
Solitary states in the mean-field limit. (Publisher's Version)
In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (11), AIP Publishing, ISSN 1054-1500,
DOI: 10.26083/tuprints-00021568,
[Article]

Kumar, Sunil ; Lun, Xiao-Kang ; Bodenmiller, Bernd ; Rodríguez Martínez, María ; Koeppl, Heinz (2022):
Stabilized Reconstruction of Signaling Networks from Single-Cell Cue-Response Data. (Publisher's Version)
10, In: Scientific Reports, (1), Springer, e-ISSN 2045-2322,
DOI: 10.26083/tuprints-00021513,
[Article]

Köhs, Lukas (2023):
Bayesian inference and learning in switching biological systems. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00023022,
[Ph.D. Thesis]

P

Prangemeier, Tim ; Reich, Christoph ; Koeppl, Heinz (2022):
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. (Postprint)
In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 700-707,
Darmstadt, IEEE, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), virtual Conference, 16.-19.12.2020, ISBN 978-1-7281-6215-7,
DOI: 10.26083/tuprints-00021666,
[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]

W

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]

Y

Yang, Sikun ; Koeppl, Heinz (2022):
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. (Publisher's Version)
In: Proceedings of Machine Learning Research, 124, In: Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 460-469,
Darmstadt, PMLR, Conference on Uncertainty in Artificial Intelligence (UAI), Online, 03.-06.08.2020, DOI: 10.26083/tuprints-00021515,
[Conference or Workshop Item]