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06/24/2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
Aggregate data often appear in various fields such as socio-economics an...
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05/24/2021
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
Sequences of events including infectious disease outbreaks, social netwo...
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02/18/2021
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
The importance of aggregated count data, which is calculated from the da...
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06/16/2020
Probabilistic Optimal Transport based on Collective Graphical Models
Optimal Transport (OT) is being widely used in various fields such as ma...
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07/19/2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
We propose a probabilistic model for inferring the multivariate function...
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06/21/2019
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information
Predicting when and where events will occur in cities, like taxi pick-up...
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01/11/2019
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories
Knowledge discovery from GPS trajectory data is an important topic in se...
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09/21/2018