Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. - Cornelius Fritz; Michael Lebacher; Göran Kauermann (CoRR, 2019)

Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany. - Cornelius Fritz; Emilio Dorigatti; David Rügamer (CoRR, 2021)

Separable and semiparametric network-based counting processes applied to the international combat aircraft trades. - Cornelius Fritz; Paul W. Thurner; Göran Kauermann (Netw. Sci., 2021)

Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. - Cornelius Fritz; Marius Mehrl; Paul W. Thurner; Göran Kauermann (CoRR, 2022)

Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany. - Cornelius Fritz; Giacomo De Nicola; Felix Günther 003; David Rügamer; Martje Rave; Marc Schneble; Andreas Bender 001; Maximilian Weigert; Ralph Brinks; Annika Hoyer; Ursula Berger; Helmut Küchenhoff; et al. (J. Comput. Graph. Stat., 2023)

deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. - David Rügamer; Chris Kolb; Cornelius Fritz; Florian Pfisterer; Philipp Kopper; Bernd Bischl; Ruolin Shen; Christina Bukas; Lisa Barros de Andrade e Sousa; Dominik Thalmeier; Philipp F. M. Baumann; Lucas Kook; et al. (J. Stat. Softw., 2023)

All that glitters is not gold: Relational events models with spurious events. - Cornelius Fritz; Marius Mehrl; Paul W. Thurner; Göran Kauermann (Netw. Sci., 2023)

A Strategic Model of Software Dependency Networks. - Cornelius Fritz; Co-Pierre Georg; Angelo Mele; Michael Schweinberger (EC, 2024)

How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression. - Lucas Kook; Chris Kolb; Philipp Schiele; Daniel Dold; Marcel Arpogaus; Cornelius Fritz; Philipp F. M. Baumann; Philipp Kopper; Tobias Pielok; Emilio Dorigatti; David Rügamer (UAI, 2024)

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty. - Håvard Hegre; Paola Vesco; Michael Colaresi; Jonas Vestby; Alexa Timlick; Noorain Syed Kazmi; Friederike Becker; Marco Binetti; Tobias Bodentien; Tobias Bohne; Patrick T. Brandt; Thomas Chadefaux; et al. (CoRR, 2024)

Socio-cognitive Networks between Researchers. - Alejandro Espinosa-Rada; Jürgen Lerner; Cornelius Fritz (CoRR, 2024)

Guardians of the Regime: When and Why Autocrats Create Secret Police. - Marius Mehrl; Mila Pfander; Theresa Winner; Cornelius Fritz (CoRR, 2025)

Scalable Signed Exponential Random Graph Models under Local Dependence. - Marc Schalberger; Cornelius Fritz (CoRR, 2025)