2 citations · 4 across the 7 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 2 cited
TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models
Yangming Li
While current generative models have achieved promising performances in time-series synthesis, they either make strong assumptions on the data format (e.g., regularities) or rely o…
cs.LG2023
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Because diffusion models have shown impressive performances in a number of tasks, such as image synthesis, there is a trend in recent works to prove (with certain assumptions) that…
cs.LG2023★ 1 cited
On Error Propagation of Diffusion Models
Yangming Li, Mihaela van der Schaar
Although diffusion models (DMs) have shown promising performances in a number of tasks (e.g., speech synthesis and image generation), they might suffer from error propagation becau…