6 papers
Decoder-only Clustering in Attributed Graphs
Yik Lun Kei, Oscar Hernan Madrid Padilla, Rebecca Killick +3
This manuscript studies nodal clustering in graphs having multivariate attributes at each node. The framework includes node-specific priors for low-dimensional representations, cou…
Change Point Detection for Cell Populations Measured via Flow Cytometry
Yik Lun Kei, Qi Wang, Paul Parker +2
The ocean is filled with phytoplankton that contribute as much photosynthesis as all land plants combined, making them vital to the carbon cycle and climate system. Recent advances…
Change Point Detection on A Separable Model for Dynamic Networks
Yik Lun Kei, Hangjian Li, Yanzhen Chen +1
This paper studies the unsupervised change point detection problem in time series of networks using the Separable Temporal Exponential-family Random Graph Model (STERGM). Inherentl…
Change Point Localization and Inference in Dynamic Multilayer Networks
Fan Wang, Kyle Ritscher, Yik Lun Kei +2
We study offline change point localization and inference in dynamic multilayer random dot product graphs (D-MRDPGs), where at each time point, a multilayer network is observed with…
Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model
Yik Lun Kei, Jialiang Li, Hangjian Li +2
This manuscript studies the unsupervised change point detection problem in time series of graphs using a decoder-only latent space model. The proposed framework consists of learnab…
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks
Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Yik Lun Kei +2
This paper addresses the problems of conditional variance estimation and confidence interval construction in nonparametric regression using dense networks with the Rectified Linear…