113 citations · 1k across the 66 of their papers we have counts for
5 papers · 1 filter
Hawkes Processes for Invasive Species Modeling and Management
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina +1
The spread of invasive species to new areas threatens the stability of ecosystems and causes major economic losses in agriculture and forestry. We propose a novel approach to minim…
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye +3
Point processes are becoming very popular in modeling asynchronous sequential data due to their sound mathematical foundation and strength in modeling a variety of real-world pheno…
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Mehrdad Farajtabar +3
A variety of real-world processes (over networks) produce sequences of data whose complex temporal dynamics need to be studied. More especially, the event timestamps can carry impo…
Recurrent Poisson Factorization for Temporal Recommendation
Seyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi +4
Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribu…
Fake News Mitigation via Point Process Based Intervention
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye +6
We propose the first multistage intervention framework that tackles fake news in social networks by combining reinforcement learning with a point process network activity model. Th…