Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics G Großmann, M Backenköhler, V Wolf Plos one 16 (7), e0250050, 2021 | 39 | 2021 |
Data-Driven Approach towards a Personalized Curriculum. M Backenköhler, F Scherzinger, A Singla, V Wolf International Educational Data Mining Society, 2018 | 28 | 2018 |
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 | 24 | 2020 |
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 | 15 | 2017 |
Student performance prediction and optimal course selection: An MDP approach M Backenköhler, V Wolf Software Engineering and Formal Methods: SEFM 2017 Collocated Workshops …, 2018 | 14 | 2018 |
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 | 10 | 2020 |
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 | 10 | 2016 |
Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics G Großmann, M Backenköhler, V Wolf medRxiv, 2021.03. 25.21254292, 2021 | 8 | 2021 |
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 | 8 | 2021 |
Control variates for stochastic simulation of chemical reaction networks M Backenköhler, L Bortolussi, V Wolf Computational Methods in Systems Biology: 17th International Conference …, 2019 | 6 | 2019 |
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 | 5 | 2024 |
Epidemic overdispersion strengthens the effectiveness of mobility restrictions G Großmann, M Backenköhler, V Wolf Proceedings of the 24th International Conference on Hybrid Systems …, 2021 | 5 | 2021 |
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 | 4 | 2022 |
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 | 4 | 2021 |
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 | 3 | 2024 |
TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications M Backenköhler, PL Kramer, J Groß, G Großmann, R Joeres, ... | 3 | 2023 |
Unsupervised relational inference using masked reconstruction G Großmann, J Zimmerlin, M Backenköhler, V Wolf Applied Network Science 8 (1), 18, 2023 | 2 | 2023 |
GINA: Neural Relational Inference From Independent Snapshots G Großmann, J Zimmerlin, M Backenköhler, V Wolf arXiv preprint arXiv:2105.14329, 2021 | 2 | 2021 |
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 | 2 | 2021 |
Bounding first passage times in chemical reaction networks M Backenköhler, L Bortolussi, V Wolf Computational Methods in Systems Biology: 17th International Conference …, 2019 | 2 | 2019 |