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

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.-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, 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.-18.07.2020)
doi: 10.26083/tuprints-00021516
Conference or Workshop Item, Secondary publication, Publisher's Version

Hill, Steven M. ; Heiser, Laura M. ; Cokelaer, Thomas ; Unger, Michael ; Nesser, Nicole K. ; Carlin, Daniel E. ; Zhang, Yang ; Sokolov, Artem ; Paull, Evan O. ; Wong, Chris K. ; Graim, Kiley ; Bivol, Adrian ; Wang, Haizhou ; Zhu, Fan ; Afsari, Bahman ; Danilova, Ludmila V. ; Favorov, Alexander V. ; Lee, Wai Shing ; Taylor, Dane ; Hu, Chenyue W. ; Long, Byron L. ; Noren, David P. ; Bisberg, Alexander J. ; Mills, Gordon B. ; Gray, Joe W. ; Kellen, Michael ; Norman, Thea ; Friend, Stephen ; Qutub, Amina A. ; Fertig, Elana J. ; Guan, Yuanfang ; Song, Mingzhou ; Stuart, Joshua M. ; Spellman, Paul T. ; Koeppl, Heinz ; Stolovitzky, Gustavo ; Saez-Rodriguez, Julio ; Mukherjee, Sach (2024)
Inferring causal molecular networks: empirical assessment through a community-based effort.
In: Nature Methods, 2016, 13 (4)
doi: 10.26083/tuprints-00027016
Article, 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, 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

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

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

Tahir, Anam ; Cui, Kai ; Koeppl, Heinz (2024)
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems.
51st International Conference on Parallel Processing (ICPP ’22). Bordeaux, France (29.08. - 01.09.2022)
doi: 10.26083/tuprints-00026518
Conference or Workshop Item, Secondary publication, Publisher's Version

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

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

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