Exploring sequential VAE to handle time-series data

Variational Autoencoders (VAEs) have gained significant popularity in recent years as a powerful generative model. They emerged in 2013 when it was introduced as a means to learn latent representations of data in an unsupervised manner while providing a probabilistic framework for generation. One of...

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Bibliographic Details
Main Author: Tan, Colin G-Hao
Other Authors: Arvind Easwaran
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166501
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Institution: Nanyang Technological University
Language: English

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