March 13, 2025, 9:52 p.m.
Two papers at AAAI 2025
At the recently concluded, Association for the Advancement of Artificial Intelligence (AAAI 2025) conference in Philadelphia, two papers co-authored by researchers from our department were published.
- Tomasz Jurdzinski, along with Dariusz Kowalski from Augusta University, in the paper Searching for and Avoiding Hidden Sets Using Queries with Local Feedback, proposed how to efficiently test entire groups of cases (e.g., trying to detect infections) in situations where the number of tests is limited and each case cannot be tested individually.
- Artur Yakimovich and his co-authors from the CASUS Institute, Imperial College London, University College London, and HZDR, in the paper Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models, demonstrated how to utilize chromatic aberration and diffusion models to improve the quality of microscopic images.
(photo: Philadelphia, King of Hearts / Wikimedia Commons / CC-BY-SA-3.0)