Semi-supervised Variational Autoencoder for Regression: Application on
Soft Sensors

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Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors

11 November 2022

Mehmet Mercangöz

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Papers citing "Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors"

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Title
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations Hao Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 122 24 0 21 Nov 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 54 273 0 30 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 470 10,591 0 17 Feb 2020
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold Y. Yoo Sangdoo Yun H. Chang Y. Demiris J. Choi DRL 33 25 0 12 Aug 2019
Variational AutoEncoder For Regression: Application to Brain Aging Analysis Qingyu Zhao Ehsan Adeli N. Honnorat Tuo Leng K. Pohl DRL BDL 64 85 0 11 Apr 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 103 480 0 05 Dec 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab UQCV MedIm 55 442 0 12 Apr 2018
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 341 8,169 0 13 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 287 4,807 0 04 Jan 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 88 2,742 0 20 Jun 2014