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...
Main Author: | Thornton, J |
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Other Authors: | Deligiannidis, G |
Format: | Thesis |
Language: | English |
Published: |
2023
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Subjects: |
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