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DTSTAMP:20260911T010121
STATUS:CONFIRMED
UID:2024-03-11-munich-ai-lectures-ye@mcml.ai
DTSTART:20240311T181500
DTEND:20240311T194500
SUMMARY:Munich AI Lectures--Enlarging the Capability of Diffusion Models for Inverse Problems by Guidance--
DESCRIPTION:*** Munich AI Lectures\n*** Enlarging the Capability of Diffusion Models for Inverse Problems by Guidance\n\n*** Organized by:\nbaiosphere\nBavarian Academy of Science and Humanities\nHelmholtz Munich\nLMU Munich\nTUM\nAI-HUB\, LMU\nELLIS Munich Unit\nKonrad Zuse School of Excellence in Reliable AI\nMCML\nMunich Data Science Institute\, TUM\nMunich Institute of Robotics and Machine Intelligence\, TUM\n\n*** Speaker(s):\nJong Chul Ye\, Graduate School of Artificial Intelligence\, KAIST\, Korea\n\nMunich AI Lecture with Prof. Dr. Jong Chul Ye from KAIST on using diffusion models to solve inverse problems\n\nMore info: https://www.ai-news.lmu.de/guestlecture/
LOCATION:LMU Munich\, Theresienstr. 39\, Room B 006
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