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Missingness is ubiquitous in multivariate time series and poses an obstacle to reliable downstream analysis.
Marginalization paradoxes in bayesian and structural inference
A Philip Dawid, Mervyn Stone, and James V Zidek · 1973
Earlier work this paper cites.
A practical bayesian framework for backpropagation networks
David JC MacKay · 1992
Earlier work this paper cites.
Mlp-deficient mice exhibit a disruption of cardiac cytoarchitectural organization, dilated cardiomyopathy, and heart failure
Silvia Arber, John J Hunter, John Ross Jr, Minoru Hongo, Gilles Sansig, Jacques Borg, Jean-Claude Perriard, Kenneth R Chien, and Pico Caroni · 1997
Earlier work this paper cites.
Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal · 1997
Earlier work this paper cites.
Distance metric learning: A comprehensive survey
Liu Yang and Rong Jin · 2006
Earlier work this paper cites.
Uci machine learning repository, 2007
Arthur Asuncion and David Newman · 2007
Earlier work this paper cites.
Learning deep architectures for ai
Yoshua Bengio et al · 2009
Earlier work this paper cites.
Practical variational inference for neural networks
Alex Graves · 2011
Earlier work this paper cites.
Bayesian learning for neural networks
Radford M Neal · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Metric learning: A survey
Brian Kulis et al · 2013
Earlier work this paper cites.
A systems engineering perspective on homeostasis and disease
Yoram Vodovotz, Gary An, and Ioannis P Androulakis · 2013
Earlier work this paper cites.
Weight uncertainty in neural network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015
Earlier work this paper cites.
Mimic-iii, a freely accessible critical care database
Alistair Johnson and et al · 2016
Earlier work this paper cites.
Directly modeling missing data in sequences with rnns: Improved classification of clinical time series
Zachary C Lipton, David Kale, and Randall Wetzel · 2016
Cited alongside, same era.
Auto-encoder based dimensionality reduction
Yasi Wang, Hongxun Yao, and Sicheng Zhao · 2016
Cited alongside, same era.
Variational inference: A review for statisticians
David M Blei, Alp Kucukelbir, and Jon D McAuliffe · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Multi-directional recurrent neural networks: A novel method for estimating missing data
Jinsung Yoon, William R Zame, and Mihaela van der Schaar · 2017
The eicu collaborative research database, a freely available multi-center database for critical care research
Tom J Pollard, Alistair EW Johnson, Jesse D Raffa, Leo A Celi, Roger G Mark, and Omar Badawi · 2018
Later among the works it cites.
Deep metric learning: A survey
Mahmut Kaya and Hasan Şakir Bilge · 2019
Later among the works it cites.
E²gan: End-to-end generative adversarial network for multivariate time series imputation
Yonghong Luo, Ying Zhang, Xiangrui Cai, and Xiaojie Yuan · 2019
Later among the works it cites.
Metric learning on healthcare data with incomplete modalities
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, and Aidong Zhang · 2019
Later among the works it cites.
Multi-similarity loss with general pair weighting for deep metric learning
Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, and Matthew R Scott · 2019
Later among the works it cites.
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Cautionary tales on air-quality improvement in beijing
Shuyi Zhang and et al · 2017
Cited alongside, same era.
Recurrent highway networks
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnık, and Jürgen Schmidhuber · 2017
Cited alongside, same era.
Brits: Bidirectional recurrent imputation for time series
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, and Yitan Li · 2018
Cited alongside, same era.
Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina N. Toutanova · 2018
Cited alongside, same era.
Recent advances in convolutional neural networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, et al · 2018
Cited alongside, same era.
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Later among the works it cites.
Uncertainty-gated stochastic sequential model for ehr mortality prediction
Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, and Heung-Il Suk · 2020
Later among the works it cites.
Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
Omer Berat Sezer, Mehmet Ugur Gudelek, and Ahmet Murat Ozbayoglu · 2020
Later among the works it cites.
Deep interpretable early warning system for the detection of clinical deterioration
Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, and David A. Clifton · 2020
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Uncertainty-aware variational-recurrent imputation network for clinical time series
Ahmad Wisnu Mulyadi, Eunji Jun, and Heung-Il Suk · 2021
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Can deep learning beat numerical weather prediction?
Martin G Schultz, Clara Betancourt, Bing Gong, Felix Kleinert, Michael Langguth, Lukas Hubert Leufen, Amirpasha Mozaffari, and Scarlet Stadtler · 2021
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Gating revisited: Deep multi-layer rnns that can be trained
Mehmet Ozgur Turkoglu, Stefano D’Aronco, Jan Dirk Wegner, and Konrad Schindler · 2021
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A survey on generative diffusion model
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, and Stan Z Li · 2022
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A knowledge distillation ensemble framework for predicting short- and long-term hospitalization outcomes from electronic health records data
Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. H. Teo, and Richard JB Dobson · 2022
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