<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>DAISY Lab — news</title><description>DAISY Lab studies data-centric AI systems at Sharif University of Technology: machine learning for systems, systems for machine learning, database optimization, Text-to-SQL, AI agents, and complex networks.</description><link>https://daisy-lab.ir/</link><item><title>Sample post: what we mean by data-centric AI systems</title><link>https://daisy-lab.ir/blog/sample-why-data-centric/</link><guid isPermaLink="true">https://daisy-lab.ir/blog/sample-why-data-centric/</guid><description>A sample blog post. The blog is where the lab explains its work at more length than a news item and less formally than a paper.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Sample: applications open for MSc and undergraduate researchers</title><link>https://daisy-lab.ir/news/sample-lab-opening/</link><guid isPermaLink="true">https://daisy-lab.ir/news/sample-lab-opening/</guid><description>Sample news item. Replace it with a real announcement — see the editing guide.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item><item><title>New preprint on audio-visual deepfake detection across domains</title><link>https://daisy-lab.ir/news/eav-dfd-preprint/</link><guid isPermaLink="true">https://daisy-lab.ir/news/eav-dfd-preprint/</guid><description>EAV-DFD uses a teacher-student structure to adapt an ensemble audio-visual deepfake detector to unseen domains with only a small sample of target data.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Uncertainty-aware recommendation with Bayesian deep ensembles</title><link>https://daisy-lab.ir/news/bdecf-preprint/</link><guid isPermaLink="true">https://daisy-lab.ir/news/bdecf-preprint/</guid><description>BDECF combines Bayesian neural networks with deep ensembles so a recommender can report how certain it is, not only what it predicts.</description><pubDate>Mon, 14 Apr 2025 00:00:00 GMT</pubDate></item><item><title>DANI published in Scientific Reports</title><link>https://daisy-lab.ir/news/dani-scientific-reports/</link><guid isPermaLink="true">https://daisy-lab.ir/news/dani-scientific-reports/</guid><description>Our network inference method that preserves the topological structure of the recovered graph appeared in Scientific Reports.</description><pubDate>Sat, 28 Dec 2024 00:00:00 GMT</pubDate></item></channel></rss>