Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems

27 August 2018

Papers citing "Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems"

19 / 19 papers shown

Title
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 35 0 0 27 Sep 2024
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks Qingyi Wang Shenhao Wang Dingyi Zhuang Haris N. Koutsopoulos Jinhua Zhao AI4TS 19 19 0 07 Mar 2023
Mind the Gap: Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira 22 11 0 16 Jan 2023
Matching DNN Compression and Cooperative Training with Resources and Data Availability F. Malandrino G. Giacomo Armin Karamzade Marco Levorato C. Chiasserini 50 9 0 02 Dec 2022
Nonparametric Probabilistic Regression with Coarse Learners B. Lucena 36 0 0 28 Oct 2022
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks J. Richards Raphael Huser 28 13 0 16 Aug 2022
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning Anthony Coache S. Jaimungal Á. Cartea 28 13 0 29 Jun 2022
Marginally calibrated response distributions for end-to-end learning in autonomous driving Clara Hoffmann Nadja Klein 18 2 0 03 Oct 2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV 39 4 0 20 Sep 2021
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand F. B. Hüttel Inon Peled Filipe Rodrigues Francisco Câmara Pereira 28 13 0 21 Jun 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 149 66 0 25 Jan 2021
Generalized Quantile Loss for Deep Neural Networks Dvir Ben-Or Michael Kolomenkin G. Shabat UQCV 22 5 0 28 Dec 2020
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks Rodrigo de Medrano J. Aznarte 33 15 0 15 Jul 2020
Deep Learning Tubes for Tube MPC David D. Fan Ali-akbar Agha-mohammadi Evangelos A. Theodorou 35 57 0 05 Feb 2020
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 37 14 0 26 Aug 2019
Deep Distribution Regression Rui-Bing Li H. Bondell Brian J. Reich UQCV 20 33 0 14 Mar 2019
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services Inon Peled Kelvin Lee Yu Jiang Justin Dauwels Francisco Câmara Pereira 24 9 0 26 Feb 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015