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Michael Backenköhler
Michael Backenköhler
Saarland University, Helmholtz Institute for Pharmaceutical Research Saarland
Verified email at uni-saarland.de - Homepage
Title
Cited by
Cited by
Year
Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics
G Großmann, M Backenköhler, V Wolf
Plos one 16 (7), e0250050, 2021
392021
Data-Driven Approach towards a Personalized Curriculum.
M Backenköhler, F Scherzinger, A Singla, V Wolf
International Educational Data Mining Society, 2018
282018
Importance of interaction structure and stochasticity for epidemic spreading: A COVID-19 case study
G Großmann, M Backenköhler, V Wolf
Quantitative Evaluation of Systems: 17th International Conference, QEST 2020 …, 2020
242020
Moment-based parameter estimation for stochastic reaction networks in equilibrium
M Backenköhler, L Bortolussi, V Wolf
IEEE/ACM transactions on computational biology and bioinformatics 15 (4 …, 2017
152017
Student performance prediction and optimal course selection: An MDP approach
M Backenköhler, V Wolf
Software Engineering and Formal Methods: SEFM 2017 Collocated Workshops …, 2018
142018
Bounding mean first passage times in population continuous-time Markov chains
M Backenköhler, L Bortolussi, V Wolf
Quantitative Evaluation of Systems: 17th International Conference, QEST 2020 …, 2020
102020
Generalized method of moments for stochastic reaction networks in equilibrium
M Backenköhler, L Bortolussi, V Wolf
Computational Methods in Systems Biology: 14th International Conference …, 2016
102016
Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics
G Großmann, M Backenköhler, V Wolf
medRxiv, 2021.03. 25.21254292, 2021
82021
Abstraction-guided truncations for stationary distributions of Markov population models
M Backenköhler, L Bortolussi, G Großmann, V Wolf
Quantitative Evaluation of Systems: 18th International Conference, QEST 2021 …, 2021
82021
Control variates for stochastic simulation of chemical reaction networks
M Backenköhler, L Bortolussi, V Wolf
Computational Methods in Systems Biology: 17th International Conference …, 2019
62019
Guided docking as a data generation approach facilitates structure-based machine learning on kinases
M Backenköhler, J Groß, V Wolf, A Volkamer
Journal of Chemical Information and Modeling, 2024
52024
Epidemic overdispersion strengthens the effectiveness of mobility restrictions
G Großmann, M Backenköhler, V Wolf
Proceedings of the 24th International Conference on Hybrid Systems …, 2021
52021
Variance reduction in stochastic reaction networks using control variates
M Backenköhler, L Bortolussi, V Wolf
Principles of Systems Design: Essays Dedicated to Thomas A. Henzinger on the …, 2022
42022
Learning vaccine allocation from simulations
G Großmann, M Backenköhler, J Klesen, V Wolf
Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth …, 2021
42021
Hit optimization by dynamic combinatorial chemistry on Streptococcus pneumoniae energy-coupling factor transporter ECF-PanT
IA Exapicheidou, A Shams, H Ibrahim, A Tsarenko, M Backenköhler, ...
Chemical Communications 60 (7), 870-873, 2024
32024
TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications
M Backenköhler, PL Kramer, J Groß, G Großmann, R Joeres, ...
32023
Unsupervised relational inference using masked reconstruction
G Großmann, J Zimmerlin, M Backenköhler, V Wolf
Applied Network Science 8 (1), 18, 2023
22023
GINA: Neural Relational Inference From Independent Snapshots
G Großmann, J Zimmerlin, M Backenköhler, V Wolf
arXiv preprint arXiv:2105.14329, 2021
22021
Analysis of Markov jump processes under terminal constraints
M Backenköhler, L Bortolussi, G Großmann, V Wolf
Tools and Algorithms for the Construction and Analysis of Systems: 27th …, 2021
22021
Bounding first passage times in chemical reaction networks
M Backenköhler, L Bortolussi, V Wolf
Computational Methods in Systems Biology: 17th International Conference …, 2019
22019
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