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Gerrit Großmann

2 papers indexed

arxivcs.LG2026-07-01

When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting

Yahya Aalaila, Mouad Elhamdi, Gerrit Großmann, Daniel Jenson, Elizaveta Semenova, Sebastian Vollmer

Spatio-temporal point-process models must often generalise across space when local event histories are sparse. We study whether exogenous spatial context can compensate in such regimes. Using a fixed log-Gaussian Cox process backbone, we compare an event-only model with the same…

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arxivcs.LG2026-07-01

Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling

Yahya Aalaila, Gerrit Großmann, Sebastian Vollmer

Spatiotemporal point processes (STPPs) model event data in continuous time and space, with applications in mobility, epidemiology, and public safety. Recent neural STPPs span expressive intensity models, conditional density models, continuous-time latent dynamics, normalizing-flo…

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