Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

27 October 2019

Papers citing "Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians"

7 / 7 papers shown

Title
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 33 0 0 24 Dec 2022
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification Renat Sergazinov Mohammadreza Armandpour I. Gaynanova BDL AI4TS MedIm 43 11 0 09 Sep 2022
Deep Non-Crossing Quantiles through the Partial Derivative Axel Brando J. Gimeno Jose A. Rodríguez-Serrano Jordi Vitrià 48 13 0 30 Jan 2022
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling D. Klotz Frederik Kratzert M. Gauch A. Sampson Günter Klambauer Sepp Hochreiter G. Nearing BDL UQCV 18 106 0 15 Dec 2020
Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 30 16 0 12 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015