3 papers
cs.CV2026
Guiding Diffusion Models with Semantically Degraded Conditions
Shilong Han, Yuming Zhang, Hongxia Wang
Classifier-Free Guidance (CFG) is a cornerstone of modern text-to-image models, yet its reliance on a semantically vacuous null prompt () generates a guidance signal p…
cs.LG2025
Exemplar-condensed Federated Class-incremental Learning
Rui Sun, Yumin Zhang, Varun Ojha +4
We propose Exemplar-Condensed federated class-incremental learning (ECoral) to distil the training characteristics of real images from streaming data into informative rehearsal exe…
cs.DC2025
Genomic data processing with GenomeFlow
Junseok Park, Eduardo A. Maury, Changhoon Oh +3
Advances in genome sequencing technologies generate massive amounts of sequence data that are increasingly analyzed and shared through public repositories. On-demand infrastructure…