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TITLE Design, Measure, Interpret: Foundation Models in the Scientific Loop ABSTRACT "As foundation models become powerful scientific priors, a central question emerges: how can they drive the full cycle of […]
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Speaker: Ila Fiete Date & Time: Mon Dec 8th, 2:00pm NEW LOCATION: Jacobs Hall, Qualcomm Conference Center B, 1st Floor Abstract: Modular and hierarchical structures are ubiquitous in the brain, and the decomposition […]
Talk Time: Mon Jan 12th, 2026 | 2:00pm Location: Data Science Building 1st Floor, Room 123 Talk Abstract As we interact with the world around us, we experience a constant […]
Title: A geometric model for anatomic objects targeted for statistical analysis Speaker: Stephen Pizer, Kenan Professor of Computer Science, University of North Carolina at Chapel Hill Abstract: A novel representation […]
Speaker: Xiuyuan Cheng Date & Time: Monday February 9th, 2:00pm Location: HDSI Multipurpose Room 123 Talk Title: Wasserstein-regularized learning via neural transport maps: from gradient flow to minimax Abstract: Wasserstein regularization has become a […]
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The goal of this EnCORE workshop is to bring together researchers working on different aspects of interpretability in modern AI systems to enable Trustworthy AI. We aim to discuss recent advancements, theoretical foundations, and emerging […]
Speaker: Zhijian Liu Date & Time: Wednesday February 25th, 2:00pm Location: HDSI Multipurpose Room 123 Talk Title: Efficient AI in the Era of Large Models Abstract: Large foundation models now […]
Speaker: Emily Aiken Date & Time: Monday March 2nd, 2:00pm Location: HDSI Multipurpose Room 123 Talk Title: Empirically understanding the relative value of prediction in allocation Abstract: Public institutions increasingly use prediction to […]