Generalized Master Equations for Non-Poisson Dynamics on Networks - Till Hoffmann; Mason A. Porter; Renaud Lambiotte (CoRR, 2011)

Decentralized Routing on Spatial Networks with Stochastic Edge Weights - Till Hoffmann; Renaud Lambiotte; Mason A. Porter (CoRR, 2012)

Random Walks on Stochastic Temporal Networks. - Till Hoffmann; Mason A. Porter; Renaud Lambiotte (CoRR, 2013)

Community detection in networks with unobserved edges. - Till Hoffmann; Leto Peel; Renaud Lambiotte; Nick S. Jones (CoRR, 2018)

Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data. - Iain G. Johnston; Till Hoffmann; Sam F. Greenbury; Ornella Cominetti; Muminatou Jallow; Dominic Kwiatkowski; Mauricio Barahona; Nick S. Jones; Climent Casals-Pascual (npj Digit. Medicine, 2019)

Inference of a universal social scale and segregation measures using social connectivity kernels. - Till Hoffmann; Nick S. Jones (CoRR, 2020)

Thematic recommendations on knowledge graphs using multilayer networks. - Mariano Beguerisse-Díaz; Dimitrios Korkinof; Till Hoffmann (CoRR, 2021)

Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics. - Till Hoffmann; Jukka-Pekka Onnela (CoRR, 2022)

Latent space approaches to aggregate network data. - Till Hoffmann (CoRR, 2023)

Cost-based Feature Selection for Network Model Choice. - Louis Raynal; Till Hoffmann; Jukka-Pekka Onnela (J. Comput. Graph. Stat., 2023)

Network Layout Algorithm with Covariate Smoothing. - Octavious Smiley; Till Hoffmann; Jukka-Pekka Onnela (CoRR, 2024)

Approximate inference for longitudinal mechanistic HIV contact network. - Octavious Smiley; Till Hoffmann; Jukka-Pekka Onnela (Appl. Netw. Sci., 2024)

gptools: Scalable Gaussian Process Inference with Stan. - Till Hoffmann; Jukka-Pekka Onnela (J. Stat. Softw., 2025)