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Communication Dans Un Congrès Année : 2024

Touring sampling with pushforward maps

Vivien Cabannes
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Charles Arnal

Résumé

The number of sampling methods could be daunting for a practitioner looking to cast powerful machine learning methods to their specific problem. This paper takes a theoretical stance to review and organize many sampling approaches in the ``generative modeling'' setting, where one wants to generate new data that are similar to some training examples. By revealing links between existing methods, it might prove useful to overcome some of the current challenges in sampling with diffusion models, such as long inference time due to diffusion simulation, or the lack of diversity in generated samples.
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hal-04471440 , version 1 (21-02-2024)

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Vivien Cabannes, Charles Arnal. Touring sampling with pushforward maps. ICASSP 2024 - International Conference on Acoustics, Speech, and Signal Processing, Apr 2024, Seoul, South Korea. ⟨10.48550/ARXIV.2311.13845⟩. ⟨hal-04471440⟩
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