15 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
Xuejie Liu, Anji Liu, Guy Van den Broeck +1
Probabilistic Circuits (PCs) are a general and unified computational framework for tractable probabilistic models that support efficient computation of various inference tasks (e.g…
cs.LG2015★ 15 cited
Supervised learning of sparse context reconstruction coefficients for data representation and classification
Xuejie Liu, Jingbin Wang, Ming Yin +2
Context of data points, which is usually defined as the other data points in a data set, has been found to play important roles in data representation and classification. In this p…
cs.LG2015★ 2 cited
Sparse Coding with Earth Mover's Distance for Multi-Instance Histogram Representation
Mohua Zhang, Jianhua Peng, Xuejie Liu +1
Sparse coding (Sc) has been studied very well as a powerful data representation method. It attempts to represent the feature vector of a data sample by reconstructing it as the spa…