Notice：
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01-03
2024
Bayesian Design Principles for Frequentist Sequential Learning
Speaker: Yunbei Xu MIT Time: 2024-01-03 10:30-2024-01-03 11:30 Venue: FIT 1-222 Abstract: We develop a general theory to optimize the frequentist regret for sequential learning problems, where effi...
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12-28
2023
Learning to Adapt for Building Generalist Robots
Speaker: Mengdi Xu Carnegie Mellon University Time: 2023-12-28 14:00-2023-12-28 15:00 Venue: FIT 1-222 Abstract: Talk Abstract: Deep robot learning unlocks exciting robot capabilities in the recent...
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12-26
2023
Zero-Knowledge Proofs Beyond Circuits and Constraints — How to build a ZK CPU?
Speaker: Yibin Yang Georgia Institute of Technology Time: 2023-12-26 10:00-2023-12-26 11:30 Venue: FIT 1-222 Abstract: With recent advances in efficient Zero-Knowledge Proofs (ZKP) schemes, ZKP has...
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12-25
2023
Human-AI Interaction in the Age of Large Language Models
Speaker: Diyi Yang Stanford University Time: 2023-12-25 10:00-2023-12-25 12:00 Venue: FIT 1-222 Abstract: Large language models have revolutionized the way humans interact with AI systems, transfor...
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12-22
2023
Create the Future with Multimodal AI: My Research and Startup Journey
Speaker: Rui Zhou MIT Time: 2023-12-22 10:00-2023-12-22 11:00 Venue: FIT 1-222 Abstract: We live in a world that is multimodal in nature. The ability to act and reason on multimodal data in additio...
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12-21
2023
Learn to Interact by learning to predict
Speaker: Xi Wang is an ETH Fellow in the Advanced Interactive Technologies lab ETH Zurich Time: 2023-12-21 16:30-2023-12-21 17:30 Venue: C19-2 or https://meeting.tencent.com/dm/sbSrNWRepCFZ Abstract...