88 citations · 223 across the 16 of their papers we have counts for
6 papers · 1 filter
PoPPy: A Point Process Toolbox Based on PyTorch
Hongteng Xu
PoPPy is a Point Process toolbox based on PyTorch, which achieves flexible designing and efficient learning of point process models. It can be used for interpretable sequential dat…
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu, Wenlin Wang, Wei Liu +1
We propose a novel Wasserstein method with a distillation mechanism, yielding joint learning of word embeddings and topics. The proposed method is based on the fact that the Euclid…
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model
Matthew Engelhard, Hongteng Xu, Lawrence Carin +3
Health risks from cigarette smoking -- the leading cause of preventable death in the United States -- can be substantially reduced by quitting. Although most smokers are motivated…
Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer
Shiyu Ning, Hongteng Xu, Li Song +2
Transferring a low-dynamic-range (LDR) image to a high-dynamic-range (HDR) image, which is the so-called inverse tone mapping (iTM), is an important imaging technique to improve vi…
Superposition-Assisted Stochastic Optimization for Hawkes Processes
Hongteng Xu, Xu Chen, Lawrence Carin
We consider the learning of multi-agent Hawkes processes, a model containing multiple Hawkes processes with shared endogenous impact functions and different exogenous intensities.…
Visually Explainable Recommendation
Xu Chen, Yongfeng Zhang, Hongteng Xu +3
Images account for a significant part of user decisions in many application scenarios, such as product images in e-commerce, or user image posts in social networks. It is intuitive…