22 citations · 82 across the 15 of their papers we have counts for
5 papers · 1 filter
Likelihood-Free Variational Autoencoders
Chen Xu, Qiang Wang, Lijun Sun
Variational Autoencoders (VAEs) typically rely on a probabilistic decoder with a predefined likelihood, most commonly an isotropic Gaussian, to model the data conditional on latent…
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
Ziyue Li, Hao Yan, Chen Zhang +3
Passenger clustering based on trajectory records is essential for transportation operators. However, existing methods cannot easily cluster the passengers due to the hierarchical s…
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen, Lijun Sun
Time series prediction has been a long-standing research topic and an essential application in many domains. Modern time series collected from sensor networks (e.g., energy consump…
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Jinming Yang, Lijun Sun
Sparsity and missing data problems are very common in spatiotemporal traffic data collected from various sensing systems. Making accurate imputation is critical to many application…
Bayesian Temporal Factorization for Multidimensional Time Series Prediction
Xinyu Chen, Lijun Sun
Large-scale and multidimensional spatiotemporal data sets are becoming ubiquitous in many real-world applications such as monitoring urban traffic and air quality. Making predictio…