Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes

21 January 2020

Papers citing "Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes"

8 / 8 papers shown

Title
Exact Gaussian Processes on a Million Data Points Ke Alexander Wang Geoff Pleiss Jacob R. Gardner Stephen Tyree Kilian Q. Weinberger A. Wilson GP 45 230 0 19 Mar 2019
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events Filipe Rodrigues S. Borysov B. Ribeiro Francisco Câmara Pereira AI4TS 30 50 0 20 Dec 2018
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation Filipe Rodrigues Kristian C. Henrickson Francisco Câmara Pereira 55 64 0 20 Dec 2018
Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data Filipe Rodrigues Francisco Câmara Pereira 42 30 0 20 Dec 2018
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach Lei Lin Zhengbing He S. Peeta GNN 45 375 0 13 Dec 2017
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction Junbo Zhang Yu Zheng Dekang Qi 3DPC AI4TS 87 2,051 0 01 Oct 2016
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 101 1,230 0 26 Sep 2013
Expectation Propagation for approximate Bayesian inference T. Minka 127 1,907 0 10 Jan 2013