Difference between revisions of "Generative Approach for Multivariate Signals"
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| − | |Summary=. | + | |Summary=The topic focuses on generative models (VAE) for CAN-bus data and investigating the representation learning capabilities of such techniques |
| − | |Supervisor= | + | |Keywords=VAE, Time-series data, Streaming data, MAR |
| − | |Status= | + | |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 | ||
| + | |Supervisor=Kunru Chen, Abdallah Alabdallah, Thorsteinn Rögnvaldsson | ||
| + | |Level=Master | ||
| + | |Status=Open | ||
}} | }} | ||
Latest revision as of 16:27, 12 October 2023
| 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 | |
| Author | |
| Supervisor | Kunru Chen, Abdallah Alabdallah, Thorsteinn Rögnvaldsson |
| Level | Master |
| Status | Open |
