arXiv Machine Learning July 2, 2026 By Yahya Aalaila, Gerrit Gro{\ss}mann, Sebastian Vollmer

Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling

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arXiv:2607. 01022v1 Announce Type: new Abstract: Spatiotemporal point processes (STPPs) model event data in continuous time and space, with applications in mobility, epidemiology, and public safety.

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arXiv Machine Learning

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HawkesNest: A Multi-Axis Synthetic Benchmark for Spatiotemporal Pattern Complexity

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