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演講公告

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Game-Theoretic Diffusion Models

  • 2025-03-10 (Mon.), 10:30 AM
  • 統計所B1演講廳;茶 會:上午10:10。
  • 實體與線上視訊同步進行。
  • Dr. Ya-Ping Hsieh
  • ETH Foundations of Data Science, Switzerland

Abstract

AI systems have significant potential to drive progress in both industrial and scientific domains, particularly in areas such as AI-assisted drug discovery. However, conventional AI models often operate within static and single-agent decision-making frameworks, limiting their adaptability to complex, real-world challenges.

In this talk, I will discuss the fundamental limitations of these existing frameworks and present algorithmic approaches designed to address them. I will then introduce a research project focused on integrating multi-agent paradigms and dynamic modeling, aiming to enhance the practical effectiveness of future AI systems by bridging the gap between theoretical foundations and real-world complexities.

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附件下載

1140310 Dr. Ya-Ping Hsieh.pdf
最後更新日期:2025-03-03 14:24
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