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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Hong_Kong:20260520T110000
DTEND;TZID=Asia/Hong_Kong:20260520T120000
DTSTAMP:20260515T091341
CREATED:20260514T081134Z
LAST-MODIFIED:20260514T081134Z
UID:116062-1779274800-1779278400@ece.hku.hk
SUMMARY:RPG Seminar – Foundation-style Methods for Real-Time Statistical Dependency Measurement and Its Applications
DESCRIPTION:Zoom Link \nhttps://hku.zoom.us/j/9021481973?omn=94827890905 \nAbstract\nMutual information has long served as a principled measure of statistical dependence\, but computing it from empirical samples is notoriously difficult: neural estimators rely on costly gradient-based optimization for every new dataset\, which limits their use inside real-time and large-scale pipelines. This talk presents a framework that pretrains a neural estimator on a synthetic meta-distribution and then evaluates any new distribution in a single forward pass — turning a per-dataset optimization problem into an inference problem. Cheap\, online dependency readings further act as many applications\, including live training diagnostics\, and as a regularization signal for detecting key frames. \nSpeaker\nMr. Zhengyang HU\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nZhengyang Hu\, a three-year PhD in ECE\, mainly focuses on statistical dependency measurement and foundational-style data science models. \nOrganiser\nProf Yanchao YANG \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260520/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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