C

Cui, Kai ; Koeppl, Heinz (2022)
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.
24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. Virtual (13.-15.04.2021)
doi: 10.26083/tuprints-00021511
Conference or Workshop Item, Secondary publication, Publisher's Version

E

Engelmann, Nicolai ; Linzner, Dominik ; Koeppl, Heinz (2022)
Continuous Time Bayesian Networks with Clocks.
37th International Conference on Machine Learning. Online (12.-18.07.2020)
doi: 10.26083/tuprints-00021516
Conference or Workshop Item, Secondary publication, Publisher's Version

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.
In: Performance Evaluation, 144
doi: 10.26083/tuprints-00021522
Article, Secondary publication, Postprint

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

Kruk, Nikita ; Carrillo, José A. ; Koeppl, Heinz (2022)
Traveling bands, clouds, and vortices of chiral active matter.
In: Physical Review E, 102 (2)
doi: 10.26083/tuprints-00021567
Article, Secondary publication, Publisher's Version

Kruk, Nikita ; Maistrenko, Yuriy ; Koeppl, Heinz (2022)
Solitary states in the mean-field limit.
In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (11)
doi: 10.26083/tuprints-00021568
Article, Secondary publication, Publisher's Version

Kumar, Sunil ; Lun, Xiao-Kang ; Bodenmiller, Bernd ; Rodríguez Martínez, María ; Koeppl, Heinz (2022)
Stabilized Reconstruction of Signaling Networks from Single-Cell Cue-Response Data.
In: Scientific Reports, (1)
doi: 10.26083/tuprints-00021513
Article, Secondary publication, Publisher's Version

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

P

Prangemeier, Tim ; Reich, Christoph ; Koeppl, Heinz (2022)
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures.
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020). virtual Conference (16.-19.12.2020)
doi: 10.26083/tuprints-00021666
Conference or Workshop Item, Secondary publication, Postprint

Prangemeier, Tim ; Wildner, Christian ; Françani, André O. ; Reich, Christoph ; Koeppl, Heinz (2022)
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB). Online (27.-29.10.2020)
doi: 10.26083/tuprints-00021524
Conference or Workshop Item, Secondary publication, Postprint

W

Wildner, Christian ; Koeppl, Heinz (2022)
Moment-Based Variational Inference for Stochastic Differential Equations.
24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. Virtual (13.-15.04.2021)
doi: 10.26083/tuprints-00021512
Conference or Workshop Item, Secondary publication, Publisher's Version

Y

Yang, Sikun ; Koeppl, Heinz (2022)
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks.
Conference on Uncertainty in Artificial Intelligence (UAI). Online (03.-06.08.2020)
doi: 10.26083/tuprints-00021515
Conference or Workshop Item, Secondary publication, Publisher's Version