| Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics G Großmann, M Backenköhler, V Wolf Plos one 16 (7), e0250050, 2021 | 35 | 2021 |
| 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 |
| Reducing spreading processes on networks to Markov population models G Großmann, L Bortolussi Quantitative Evaluation of Systems: 16th International Conference, QEST 2019 …, 2019 | 10 | 2019 |
| Lumping of degree-based mean-field and pair-approximation equations for multistate contact processes C Kyriakopoulos, G Grossmann, V Wolf, L Bortolussi Physical Review E 97 (1), 012301, 2018 | 10 | 2018 |
| 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 |
| Rejection-based simulation of stochastic spreading processes on complex networks G Großmann, V Wolf Hybrid Systems Biology: 6th International Workshop, HSB 2019, Prague, Czech …, 2019 | 7 | 2019 |
| 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 | 6 | 2021 |
| Rejection-based simulation of non-Markovian agents on complex networks G Großmann, L Bortolussi, V Wolf Complex Networks and Their Applications VIII: Volume 1 Proceedings of the …, 2020 | 6 | 2020 |
| Lumping the approximate master equation for multistate processes on complex networks G Großmann, C Kyriakopoulos, L Bortolussi, V Wolf Quantitative Evaluation of Systems: 15th International Conference, QEST 2018 …, 2018 | 6 | 2018 |
| 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 |
| Efficient simulation of non-Markovian dynamics on complex networks G Großmann, L Bortolussi, V Wolf Plos one 15 (10), e0241394, 2020 | 5 | 2020 |
| 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 |
| 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 |
| Birth-Death Processes Reproduce the Epidemic Footprint G Großmann, M Backenköhler International Conference on Complex Networks and Their Applications (Book of …, 2022 | 1 | 2022 |
| Poster: Birth-Death Processes Reproduce the Infection Footprint of Complex Networks M Backenköhler, G Großmann cit. on, 14, 2020 | 1 | 2020 |
| icon: Fast Simulation of Epidemics on Coevolving Networks G Großmann, S Vollmer arXiv preprint arXiv:2410.04987, 2024 | | 2024 |
| Stochastic spreading on complex networks G Großmann Saarländische Universitäts-und Landesbibliothek, 2022 | | 2022 |
