Geometry and representation learning in deep generative models
<p>Deep generative models have de facto emerged as state of the art when it comes to density estimation and sampling high-dimensional and multi-modal data. They combine the abstract yet practical mathematical description of probabilistic modelling with the flexibility and scalability brought b...
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| Format: | Thesis |
| Language: | English |
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2021
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