Optimal transport based simulation methods for deep probabilistic models
<p>Deep probabilistic models have emerged as state-of-the-art for high-dimensional, multi-modal data synthesis and density estimation tasks. By combining abstract probabilistic formulations with the expressivity and scalability of neural networks, deep probabilistic models have become a fundam...
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| Format: | Praca dyplomowa |
| Język: | English |
| Wydane: |
2023
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| Hasła przedmiotowe: |