2025

Linzner, Dominik ; Schmidt, Michael ; Koeppl, Heinz
eds.: Wallach, H. ; Larochelle, H. ; Beygelzimer, A. ; d'Alché-Buc, F. ; Fox, E. ; Garnett, R. (2025)
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada (08.12.2019 - 14.12.2019)
doi: 10.26083/tuprints-00028995
Conference or Workshop Item, Secondary publication, Publisher's Version

2023

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

2022

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

2021

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