SEAHORSE is a unified framework that standardizes training and evaluation of neural STPP models via a common interface and pairs it with the HawkesNest synthetic stress-test suite to expose model inductive biases.
Seahorse: Unified benchmarking for spatio-temporal point processes
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling
SEAHORSE is a unified framework that standardizes training and evaluation of neural STPP models via a common interface and pairs it with the HawkesNest synthetic stress-test suite to expose model inductive biases.