Adversarially Trained Variational Auto-Encoders With Maximum Mean Discrepancy based Regularization-Reference-Cited by-同舟云学术

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Adversarially Trained Variational Auto-Encoders With Maximum Mean Discrepancy based Regularization

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
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Author:

Sathya R.¹,K Sekar²,Ananthi S.³,T Dheepa¹

Affiliation:

1. Kongunadu College of Engineering and Technology,Department of Information Technology,Tiruchirappalli,India

2. National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,India

3. Sri Eashwar College of Engineering,Department of Computer Science and Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059457/10059586/10060244.pdf?arnumber=10060244

Reference22 articles.

1. Variational lossy autoencoder;chen;ArXiv Preprint,2016

2. Ladder variational autoencoders;søonderby;Advances in neural information processing systems,2016

3. Generating sentences from a continuous space;bowman;ArXiv Preprint,2015

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1. Geospatial Data Exploration Using Machine Learning;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20

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