From noise to information: discriminative tasks based on randomized neural networks and generative tasks based on diffusion models
In this thesis, I delve into the realm of noise and information, exploring the application and capabilities of randomized neural networks in discriminative tasks, as well as the utilization of diffusion models in generative tasks. I begin by investigating the inherent randomness in neural networks,...
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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/177388 |
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Institution: | Nanyang Technological University |
Language: | English |
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