198 citations · 450 across the 17 of their papers we have counts for
3 papers · 1 filter
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao, Kai Yang, Shaoyu Dou +3
Multivariate time series (MTS) data are becoming increasingly ubiquitous in diverse domains, e.g., IoT systems, health informatics, and 5G networks. To obtain an effective represen…
Semiblind subgraph reconstruction in Gaussian graphical models
Tianpei Xie, Sijia Liu, Alfred O. Hero
Consider a social network where only a few nodes (agents) have meaningful interactions in the sense that the conditional dependency graph over node attribute variables (behaviors)…
Learning Sparse Graphs Under Smoothness Prior
Sundeep Prabhakar Chepuri, Sijia Liu, Geert Leus +1
In this paper, we are interested in learning the underlying graph structure behind training data. Solving this basic problem is essential to carry out any graph signal processing o…