The image shows a continuous-time SIS contagion process (infected nodes in red, healthy nodes in blue) on a geometric network.
Publications
- G. Großmann, J. Zimmerlin, M. Backenköhler, V. Wolf: GINA: Neural Relational Inference From Independent Snapshots, Preprint, 2021.
- G. Großmann, M. Backenköhler, V. Wolf: Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics, PLOS ONE, 2021, Preprint PDF.
- G. Großmann, M. Backenköhler, V. Wolf: Epidemic Overdispersion Strengthens the Effectiveness of Mobility Restrictions, MedRxiv, Poster Abstract, 2021.
- G. Großmann, L. Bortolussi, V. Wolf: Efficient Simulation of non-Markovian Dynamics on Complex Networks, PLOS one, PDF
- G. Großmann, M. Backenköhler, J. Klesen, V. Wolf: Learning Vaccine Allocation from Simulations, The 9th International Conference on Complex Networks and their Applications, 2020.
- G. Großmann, M. Backenköhler, V. Wolf: Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study, QEST 2020.
- G. Großmann, M. Backenköhler: (Poster Abstract) Birth-Death Processes Reproduce the Infection Footprint of Complex Networks, HSB 2020.
- G. Großmann, L. Bortolussi, V. Wolf: Rejection-Based Simulation of Non-Markovian Agents on Complex Networks, The 8th International Conference on Complex Networks and their Applications, 2019.
- G. Großmann, L. Bortolussi: Reducing Spreading Processes on Networks to Markov Population Models, QEST 2019, PDF.
- G. Großmann, V. Wolf: Rejection-Based Simulation of Stochastic Spreading Processes on Complex Networks HSB 2019, PDF.
- C. Kyriakopoulos, G. Großmann, V. Wolf, L. Bortolussi: Lumping of Degree-Based Mean Field and Pair Approximation Equations for Multi-State Contact Processes, Physical Review E, 2018.
- G. Großmann, C Kyriakopoulos, L Bortolussi, V Wolf: Lumping the Approximate Master Equation for Multistate Processes on Complex Networks, QEST 2018, PDF.