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CALSCALE:GREGORIAN
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DTSTAMP:20260520T125128
STATUS:CONFIRMED
UID:2024-02-28-stat-colloquium@mcml.ai
DTSTART:20240228T161500
DTEND:20240228T174500
SUMMARY:Colloquium--Use Case for Bayesian Deep Learning in the Age of ChatGPT--
DESCRIPTION:*** Colloquium\n*** Use Case for Bayesian Deep Learning in the Age of ChatGPT\n\n*** Speaker(s):\nVincent Fortuin\, Helmholtz AI &amp; MCML\n\nVincent Fortuin argues against solely focusing on foundation models, showcasing modern Bayesian deep learning applications for real-world impact.\n\nMore info: https://www.statistik.uni-muenchen.de/institut/institutskolloquium/index.html
LOCATION:LMU Munich\, Department of Statistics and via zoom
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