Lumping of Degree-Based Mean Field and Pair Approximation Equations for Multi-State Contact Processes. - Charalampos Kyriakopoulos; Gerrit Grossmann; Verena Wolf; Luca Bortolussi (CoRR, 2017)

Lumping the Approximate Master Equation for Multistate Processes on Complex Networks. - Gerrit Großmann; Charalampos Kyriakopoulos; Luca Bortolussi; Verena Wolf (QEST, 2018)

Rejection-Based Simulation of Non-Markovian Agents on Complex Networks. - Gerrit Großmann; Luca Bortolussi; Verena Wolf (COMPLEX NETWORKS (1), 2019)

Rejection-Based Simulation of Stochastic Spreading Processes on Complex Networks. - Gerrit Großmann; Verena Wolf (HSB, 2019)

Reducing Spreading Processes on Networks to Markov Population Models. - Gerrit Großmann; Luca Bortolussi (QEST, 2019)

Learning Vaccine Allocation from Simulations. - Gerrit Großmann; Michael Backenköhler; Jonas Klesen; Verena Wolf (COMPLEX NETWORKS (1), 2020)

Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study. - Gerrit Großmann; Michael Backenköhler; Verena Wolf (QEST, 2020)

Epidemic overdispersion strengthens the effectiveness of mobility restrictions. - Gerrit Großmann; Michael Backenköhler; Verena Wolf (HSCC, 2021)

Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models. - Michael Backenköhler; Luca Bortolussi; Gerrit Großmann; Verena Wolf (QEST, 2021)

Analysis of Markov Jump Processes under Terminal Constraints. - Michael Backenköhler; Luca Bortolussi; Gerrit Großmann; Verena Wolf (TACAS (1), 2021)

GINA: Neural Relational Inference From Independent Snapshots. - Gerrit Großmann; Julian Zimmerlin; Michael Backenköhler; Verena Wolf (CoRR, 2021)

Unsupervised relational inference using masked reconstruction. - Gerrit Großmann; Julian Zimmerlin; Michael Backenköhler; Verena Wolf (Appl. Netw. Sci., 2023)

Peculiarities of Counterfactual Point Process Generation. - Gerrit Großmann; Sumantrak Mukherjee; Sebastian J. Vollmer (STCausal@SIGSPATIAL, 2024)

icon: Fast Simulation of Epidemics on Coevolving Networks. - Gerrit Großmann; Sebastian J. Vollmer (CoRR, 2024)

Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis. - Zhifei Li; Gerrit Großmann; Verena Wolf (CoRR, 2024)

Visible neural networks for multi-omics integration: a critical review. - David Antony Selby; Rashika Jakhmola; Maximilian Sprang; Gerrit Großmann; Hind Raki; Niloofar Maani; Daria Pavliuk; Jan Ewald; Sebastian J. Vollmer (Frontiers Artif. Intell., 2025)

Exploring Molecule Generation Using Latent Space Graph Diffusion. - Prashanth Pombala; Gerrit Grossmann; Verena Wolf (CoRR, 2025)

CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning. - Yousef Koka; David Antony Selby; Gerrit Großmann; Sebastian J. Vollmer (CoRR, 2025)

Neural Spatiotemporal Point Processes: Trends and Challenges. - Sumantrak Mukherjee; Mouad Elhamdi; George Mohler; David Antony Selby; Yao Xie; Sebastian J. Vollmer; Gerrit Grossmann (CoRR, 2025)

Auto-encoding Molecules: Graph-Matching Capabilities Matter. - Magnus Cunow; Gerrit Großmann (CoRR, 2025)

When Counterfactual Reasoning Fails: Chaos and Real-World Complexity. - Yahya Aalaila; Gerrit Großmann; Sumantrak Mukherjee; Jonas Wahl; Sebastian J. Vollmer (CoRR, 2025)

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete. - Gerrit Großmann; Larisa Ivanova; Sai Leela Poduru; Mohaddeseh Tabrizian; Islam Mesabah; David Antony Selby; Sebastian J. Vollmer (CoRR, 2025)