Generative Approach for Multivariate Signals
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Jump to navigationJump to search| Title | Generative Approach for Multivariate Signals |
|---|---|
| Summary | The topic focuses on generative models (VAE) for CAN-bus data and investigating the representation learning capabilities of such techniques |
| Keywords | VAE, Time-series data, Streaming data, MARProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
| TimeFrame | 2021 Fall - 2022 Summer |
| References | https://papers.nips.cc/paper/8789-time-series-generative-adversarial-networks.pdf
https://openreview.net/pdf?id=Sy2fzU9gl https://www.sciencedirect.com/science/article/pii/S092658051930367X |
| Prerequisites | Excellent Programming Skills
Excellent knowledge in Machine Learning and Neural Networks |
| Author | |
| Supervisor | Kunru Chen, Abdallah Alabdallah, Thorsteinn Rögnvaldsson |
| Level | Master |
| Status | Open |
