Alkhalili, Yassin ; Weil, Jannis ; Tahir, Anam ; Meuser, Tobias ; Koldehofe, Boris ; Mauthe, Andreas ; Koeppl, Heinz ; Steinmetz, Ralf (2024)
Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming.
In: Electronic Communications of the EASST, 2021, 80
doi: 10.26083/tuprints-00027018
Article, Secondary publication, Publisher's Version

Alt, Bastian (2022)
Model-Based Bayesian Inference, Learning, and Decision-Making with Applications in Communication Systems.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00020515
Ph.D. Thesis, Primary publication, Publisher's Version

Alt, Bastian ; Schultheis, Matthias ; Koeppl, Heinz (2023)
POMDPs in Continuous Time and Discrete Spaces.
34th Conference on Neural Information Processing Systems. virtual (06.12.2020-12.12.2020)
doi: 10.26083/tuprints-00023309
Conference or Workshop Item, Secondary publication, Publisher's Version

Benenson, Yaakov ; Dalchau, Neil ; Koeppl, Heinz ; Maler, Oded (2024)
Formal Methods for the Synthesis of Biomolecular Circuits.
In: Dagstuhl Reports, 2018, 8 (2)
doi: 10.26083/tuprints-00026921
Article, Secondary publication, Publisher's Version

Bronstein, Leo (2020)
Approximation and Model Reduction for the Stochastic Kinetics of Reaction Networks.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00013433
Ph.D. Thesis, Primary publication

Cui, Kai ; KhudaBukhsh, Wasiur R. ; Koeppl, Heinz (2024)
Hypergraphon mean field games.
In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022, 32 (11)
doi: 10.26083/tuprints-00026621
Article, Secondary publication, Publisher's Version

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 (13.04.2021-15.04.2021)
doi: 10.26083/tuprints-00021511
Conference or Workshop Item, Secondary publication, Publisher's Version

Danos, Vincent ; Koeppl, Heinz (2024)
Self-assembly and Self-organization in Computer Science and Biology.
In: Dagstuhl Reports, 2016, 5 (9)
doi: 10.26083/tuprints-00026922
Article, Secondary publication, Publisher's Version

Engelmann, Nicolai ; Linzner, Dominik ; Koeppl, Heinz (2022)
Continuous Time Bayesian Networks with Clocks.
37th International Conference on Machine Learning. Online (12.07.2020-18.07.2020)
doi: 10.26083/tuprints-00021516
Conference or Workshop Item, Secondary publication, Publisher's Version

Ion, Ion Gabriel ; Wildner, Christian ; Loukrezis, Dimitrios ; Koeppl, Heinz ; De Gersem, Herbert (2024)
Tensor-train approximation of the chemical master equation and its application for parameter inference.
In: The Journal of Chemical Physics, 2021, 155 (3)
doi: 10.26083/tuprints-00026628
Article, Secondary publication, Publisher's Version

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, 2020, 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, 2020, 31 (11)
doi: 10.26083/tuprints-00021667
Article, Secondary publication, Postprint

Khuda Bukhsh, Wasiur Rahman (2018)
Model reductions for queueing and agent-based systems with applications in communication networks.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Kruk, Nikita (2020)
Collective Dynamics of Large Scale Multiagent Systems with Nonlocal Interactions.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00017368
Ph.D. Thesis, Primary publication, Publisher's Version

Kruk, Nikita ; Carrillo, José A. ; Koeppl, Heinz (2022)
Traveling bands, clouds, and vortices of chiral active matter.
In: Physical Review E, 2020, 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, 2020, 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, 2020, (1)
doi: 10.26083/tuprints-00021513
Article, Secondary publication, Publisher's Version

Lehr, François-Xavier (2021)
Engineering and testing RNA-circuits in cell-free systems.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00015408
Ph.D. Thesis, Primary publication, Publisher's Version

Linzner, Dominik (2021)
Scalable Inference in Graph-coupled Continuous-time Markov Chains.
Technische Universität Darmstadt
doi: 10.12921/tuprints-00017403
Ph.D. Thesis, Primary publication, Publisher's Version

Linzner, Dominik ; Koeppl, Heinz (2023)
Active Learning of Continuous-time Bayesian Networks through Interventions.
Thirty-eighth International Conference on Machine Learning. Virtual (18.07.2021-24.07.2021)
doi: 10.26083/tuprints-00023308
Conference or Workshop Item, Secondary publication, Publisher's Version

Maistrenko, Yuriy ; Sudakov, Oleksandr ; Osiv, Oleksiy ; Maistrenko, Volodymyr (2024)
Chimera states in three dimensions.
In: New Journal of Physics, 2015, 17 (7)
doi: 10.26083/tuprints-00020589
Article, Secondary publication, Publisher's Version

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 (16.12.2020-19.12.2020)
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 (27.10.2020-29.10.2020)
doi: 10.26083/tuprints-00021524
Conference or Workshop Item, Secondary publication, Postprint

Sinzger, Mark ; Gehri, Maximilian ; Koeppl, Heinz (2022)
Poisson channel with binary Markov input and average sojourn time constraint.
ISIT'20 - International Symposium on Information Theory. Online (21.06.2020-26.06.2020)
doi: 10.26083/tuprints-00021525
Conference or Workshop Item, Secondary publication, Postprint

Sulaimanov, Nurgazy ; Koeppl, Heinz (2024)
Graph reconstruction using covariance-based methods.
In: EURASIP Journal on Bioinformatics and Systems Biology, 2016
doi: 10.26083/tuprints-00026979
Article, Secondary publication, Publisher's Version

Velumani, Sakthivel (2019)
Design and Implementation of Improved Decoding Algorithms for LDPC Convolutional Codes.
Technische Universität Darmstadt
Master Thesis, Primary publication

Wildner, Christian ; Koeppl, Heinz (2022)
Moment-Based Variational Inference for Stochastic Differential Equations.
24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. Virtual (13.04.2021-15.04.2021)
doi: 10.26083/tuprints-00021512
Conference or Workshop Item, Secondary publication, Publisher's Version

Yang, Sikun (2020)
Non-parametric Bayesian Latent Factor Models for Network Reconstruction.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00009695
Ph.D. Thesis, Primary publication

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 (03.08.2020-06.08.2020)
doi: 10.26083/tuprints-00021515
Conference or Workshop Item, Secondary publication, Publisher's Version

Šošić, Adrian ; Rueckert, Elmar ; Peters, Jan ; Zoubir, Abdelhak M. ; Koeppl, Heinz (2024)
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
In: Journal of Machine Learning Research, 2018, 19 (69)
doi: 10.26083/tuprints-00026700
Article, Secondary publication, Publisher's Version