GP-VAE: Deep Probabilistic Time Series Imputation

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GP-VAE: Deep Probabilistic Time Series Imputation

9 July 2019

Vincent Fortuin

Dmitry Baranchuk

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Papers citing "GP-VAE: Deep Probabilistic Time Series Imputation"

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Title
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 123 61 0 02 Mar 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss Vincent Fortuin Martin Josifoski Andreas Krause UQCV 97 127 0 13 Feb 2020
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems Sebastian Kaltenbach P. Koutsourelakis AI4CE 207 35 0 30 Dec 2019
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 80 13 0 31 Oct 2019
Meta-Learning Mean Functions for Gaussian Processes Vincent Fortuin Heiko Strathmann Gunnar Rätsch BDL FedML MLT 127 29 0 23 Jan 2019