Zusammenfassung für den Vortrag am 23.03.2023 (17:00 Uhr)

Math Machine Learning seminar MPI MIS + UCLA

Dohyun Kwon (University of Wisconsin-Madison)
Convergence of score-based generative modeling
23.03.2023, 17:00 Uhr,nur Video-Broadcast

Score-based generative models and diffusion probabilistic models

have exhibited exceptional performance in various applications. A natural

question that arises is whether the distribution generated by the model is

closely aligned with the given data distribution. In this talk, we will

explore an upper bound of the Wasserstein distance between these two

distributions. Based on the theory of optimal transport, we guarantee that

the framework can approximate data distributions in the space of

probability measures equipped with the Wasserstein distance. This talk is

based on joint work with Ying Fan and Kangwook Lee (UW-Madison).

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17.03.2023, 12:19