27 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
Continuous-time convolutions model of event sequences
Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva +9
Event sequences often emerge in data mining. Modeling these sequences presents two main challenges: methodological and computational. Methodologically, event sequences are non-unif…
cs.LG2020★ 27 cited
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
Dmitrii Babaev, Ivan Kireev, Nikita Ovsov +4
We address the problem of self-supervised learning on discrete event sequences generated by real-world users. Self-supervised learning incorporates complex information from the raw…