2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.SI2020★ 2 cited
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks
Sikun Yang, Heinz Koeppl
We propose a novel probabilistic framework to model continuous-time interaction events data. Our goal is to infer the \emph{implicit} community structure underlying the temporal in…
cs.LG2018
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis
Sikun Yang, Heinz Koeppl
Group factor analysis (GFA) methods have been widely used to infer the common structure and the group-specific signals from multiple related datasets in various fields including sy…
cs.SI2018
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks
Sikun Yang, Heinz Koeppl
We present a probabilistic model for learning from dynamic relational data, wherein the observed interactions among networked nodes are modeled via the Bernoulli Poisson link funct…