Single-Shot Plug-and-Play Methods for Inverse Problems

Math+ML+X Seminar Series

Organizer：

Angelica Aviles-Rivero (YMSC)

Speaker：

Yanqi Cheng（University of Cambridge）

Time：

Mon., 3:00 pm, Nov. 25, 2024

Venue：

B626, Shuangqing Complex Building A

Title：

Single-Shot Plug-and-Play Methods for Inverse Problems

Abstract：

We are excited to welcome Yanqi Cheng from the University of Cambridge as our upcoming speaker.

Plug-and-Play (PnP) priors have changed inverse problem-solving by integrating pre-trained denoisers into iterative methods. However, the reliance on large datasets poses significant challenges. In this talk, we introduce Single-Shot PnP (SS-PnP) methods, enabling effective solutions with minimal data. Our approach integrates novel proximal denoisers and neural priors to preserve essential details while overcoming gradient limitations.

Don’t miss this opportunity to explore the fascinating intersection of math and machine learning!