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

Schmidt, Michael ; Schroeder, Indra ; Bauer, Daniel ; Thiel, Gerhard ; Hamacher, Kay (2024)
Inferring functional units in ion channel pores via relative entropy.
In: European Biophysics Journal, 2021, 50 (1)
doi: 10.26083/tuprints-00023470
Article, Secondary publication, Publisher's Version

Schmidt, Michael (2022)
Statistische Modelle und Inferenz der strukturellen Biophysik.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00021148
Ph.D. Thesis, Primary publication, Publisher's Version

Schmidt, Michael ; Hamacher, Kay (2022)
hoDCA: higher order direct-coupling analysis.
In: BMC Bioinformatics, 2018, 19
doi: 10.26083/tuprints-00012863
Article, Secondary publication, Publisher's Version