44 citations · 59 across the 27 of their papers we have counts for
3 papers · 1 filter
Generalized Multi-Output Gaussian Process Censored Regression
Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino +1
When modelling censored observations, a typical approach in current regression methods is to use a censored-Gaussian (i.e. Tobit) model to describe the conditional output distribut…
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility
Daniele Gammelli, Filipe Rodrigues
Mobility-on-demand (MoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of vehicles. Crucially…
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
Daniele Gammelli, Inon Peled, Filipe Rodrigues +3
Transport demand is highly dependent on supply, especially for shared transport services where availability is often limited. As observed demand cannot be higher than available sup…