6 citations · 13 across the 5 of their papers we have counts for
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cs.SI2023
A Simple and Powerful Framework for Stable Dynamic Network Embedding
Ed Davis, Ian Gallagher, Daniel John Lawson +1
In this paper, we address the problem of dynamic network embedding, that is, representing the nodes of a dynamic network as evolving vectors within a low-dimensional space. While t…
physics.geo-ph2023★ 1 cited
Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process
Samuel Stockman, Daniel J. Lawson, Maximilian J. Werner
Point processes have been dominant in modeling the evolution of seismicity for decades, with the Epidemic Type Aftershock Sequence (ETAS) model being most popular. Recent advances…