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Dr. Gerrit Großmann
Dr. Gerrit Großmann
DFKI, Saarland University
Verified email at dfki.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
332021
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
222020
Reducing spreading processes on networks to Markov population models
G Großmann, L Bortolussi
Quantitative Evaluation of Systems: 16th International Conference, QEST 2019 …, 2019
102019
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
92018
Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics
G Großmann, M Backenköhler, V Wolf
medRxiv, 2021.03. 25.21254292, 2021
72021
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
62021
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
62020
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
62019
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
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
Efficient simulation of non-Markovian dynamics on complex networks
G Großmann, L Bortolussi, V Wolf
Plos one 15 (10), e0241394, 2020
42020
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
42018
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
TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications
M Backenköhler, PL Kramer, J Groß, G Großmann, R Joeres, ...
12023
Unsupervised relational inference using masked reconstruction
G Großmann, J Zimmerlin, M Backenköhler, V Wolf
Applied Network Science 8 (1), 18, 2023
12023
Birth-Death Processes Reproduce the Epidemic Footprint
G Großmann, M Backenköhler
International Conference on Complex Networks and Their Applications (Book of …, 2022
12022
Poster: Birth-Death Processes Reproduce the Infection Footprint of Complex Networks
M Backenköhler, G Großmann
cit. on, 14, 2020
12020
Stochastic spreading on complex networks
G Großmann
Saarländische Universitäts-und Landesbibliothek, 2022
2022
Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study (preprint)
G Grossmann, M Backenkoehler, V Wolf
2020
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