Events

Speaker: Tianhao Wang Date & Time: Monday Nov 10th, 2pm Location: HDSI Multipurpose Room 123, 1st floor Title: Adaptive Optimizers: From Structured Preconditioners to Adaptive Geometry Abstract: Adaptive optimizers such as Adam and Shampoo are workhorses of modern machine learning, enabling efficient training of large-scale models across architectures and domains. In this talk, we will present a unified framework […]

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 discovery—from designing experiments to interpreting results? This talk presents a probabilistic framework that unites experiment design and inverse problems under a common foundation model. I […]