Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation
for Time Series

Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series

3 December 2023

Peng Cui

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Papers citing "Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series"

12 / 12 papers shown

Title
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 98 0 0 23 Mar 2023
SAITS: Self-Attention-based Imputation for Time Series Wenjie Du David Cote Yang Liu AI4TS 71 255 0 17 Feb 2022
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 57 544 0 07 Jul 2021
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data Taehyean Choi Ji-Su Kang Jong-Hwan Kim SyDa AI4TS 58 21 0 20 Oct 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 63 34 0 16 Oct 2020
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 92 59 0 02 Mar 2020
BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao Dong Wang Jian Li Hao Zhou Lei Li Yitan Li AI4TS 53 624 0 27 May 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 94 762 0 27 Oct 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,719 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 312 1,947 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,005 0 13 Jun 2015