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Probabilistic Deep Learning to Quantify Uncertainty in Air Quality
  Forecasting

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting

5 December 2021
Abdulmajid Murad
F. Kraemer
Kerstin Bach
Gavin Taylor
    OOD
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting"

4 / 4 papers shown
Title
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
Vincent Zhihao Zheng
Lijun Sun
AI4TS
42
1
0
11 Oct 2024
Scoring rule nets: beyond mean target prediction in multivariate
  regression
Scoring rule nets: beyond mean target prediction in multivariate regression
Daan Roordink
Sibylle Hess
29
0
0
22 Sep 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1