activity
20122023
most citedFeature Driven and Point Process Approaches for Popularity Prediction

129 citations · 798 across the 46 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.LG2019

Quantile Propagation for Wasserstein-Approximate Gaussian Processes

Rui Zhang, Christian J. Walder, Edwin V. Bonilla +2

Approximate inference techniques are the cornerstone of probabilistic methods based on Gaussian process priors. Despite this, most work approximately optimizes standard divergence…

cs.SI2019★ 5 cited

Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models

Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie

Epidemic models and self-exciting processes are two types of models used to describe diffusion phenomena online and offline. These models were originally developed in different sci…

cs.DL2019★ 2 cited

Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration

Stephen M. Blackburn, Kathryn S. McKinley, Lexing Xie

Although the computer science community successfully harnessed exponential increases in computer performance to drive societal and economic change, the exponential growth in public…

cs.SI2019

Estimating Attention Flow in Online Video Networks

Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie

Online videos have shown tremendous increase in Internet traffic. Most video hosting sites implement recommender systems, which connect the videos into a directed network and conce…

cs.AI2019★ 20 cited

ASNets: Deep Learning for Generalised Planning

Sam Toyer, Felipe Trevizan, Sylvie Thiébaux +1

In this paper, we discuss the learning of generalised policies for probabilistic and classical planning problems using Action Schema Networks (ASNets). The ASNet is a neural networ…

cs.HC2019

Influence Flowers of Academic Entities

Minjeong Shin, Alexander Soen, Benjamin T. Readshaw +3

We present the Influence Flower, a new visual metaphor for the influence profile of academic entities, including people, projects, institutions, conferences, and journals. While ma…