61 citations · 140 across the 36 of their papers we have counts for
5 papers · 1 filter
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes
Pio Calderon, Marian-Andrei Rizoiu
The spread of content on social media is shaped by intertwining factors on three levels: the source, the content itself, and the pathways of content spread. At the lowest level, th…
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…
Motorway Traffic Flow Prediction using Advanced Deep Learning
Adriana-Simona Mihaita, Haowen Li, Zongyang He +1
Congestion prediction represents a major priority for traffic management centres around the world to ensure timely incident response handling. The increasing amounts of generated t…
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting
Adriana-Simona Mihaita, Zheyuan Liu, Chen Cai +1
Predicting traffic incident duration is a major challenge for many traffic centres around the world. Most research studies focus on predicting the incident duration on motorways ra…
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu
The Hawkes process (HP) has been widely applied to modeling self-exciting events including neuron spikes, earthquakes and tweets. To avoid designing parametric triggering kernel an…