E
Eric P. Xing
Researcher at Carnegie Mellon University
Publications - 725
Citations - 48035
Eric P. Xing is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Inference & Topic model. The author has an hindex of 99, co-authored 711 publications receiving 41467 citations. Previous affiliations of Eric P. Xing include Microsoft & Intel.
Papers
More filters
Proceedings Article
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach
TL;DR: This paper proposed the variational information bottleneck for interpretation (VIBI), a system-agnostic interpretable method that provides a brief but comprehensive explanation of a black-box decision system, which adopts an information theoretic principle, information bottleneck principle, as a criterion for finding such explanations.
Posted Content
MedLDA: A General Framework of Maximum Margin Supervised Topic Models
Jun Zhu,Amr Ahmed,Eric P. Xing +2 more
TL;DR: The approach, the maximum entropy discrimination latent Dirichlet allocation (MedLDA), utilizes the max-margin principle to train supervised topic models and estimate predictive topic representations that are arguably more suitable for prediction tasks.
Posted Content
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification.
TL;DR: In this article, a new form of invariance embedded in QNNs for both quantum binary classification and quantum representation learning, which is termed negational symmetry, is presented and analyzed.
Posted ContentDOI
Supervised Adversarial Alignment of scRNA-seq Data
TL;DR: By overcoming batch effects this method was able to correctly separate cell types, improving on several prior methods suggested for this task and analysis of the top features used by the network indicates that by taking the batch impact into account, the reduced representation is much better able to focus on key genes for each cell type.