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12/01/2022
Scalable Variational Bayes methods for Hawkes processes
Multivariate Hawkes processes are temporal point processes extensively a...
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03/29/2022
Graph similarity learning for change-point detection in dynamic networks
Dynamic networks are ubiquitous for modelling sequential graph-structure...
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03/21/2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Data-driven methods that detect anomalies in times series data are ubiqu...
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03/31/2021
Bayesian estimation of nonlinear Hawkes process
Multivariate point processes are widely applied to model event-type data...
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11/03/2020