Welcome to the second Computational Media seminar of the fall quarter. Open to all, class enrollment is not required. Food will be provided. Please join us in-person at E2-280 or via Zoom to learn more about the works of Professor Jim Whitehead: Title: Sides Taken: Generative Artists Made by Generative AI Presenter: Dr. Jim Whitehead, Professor of […]
Presenter: Enter the speaker’s name, title, and institution at the top of the event Description: Optimal transport (OT) provides a principled way to match, compare, and interpolate distributions, but its computational cost limits its use at realistic scales. I will present our recent work on reducing that cost and on using OT for statistical modeling […]
Presenter: Reza Fazel-Rezai, Senior Science and Education Application Engineer, MathWorks Description: Please join us to learn how to accelerate data analysis using a workflow that spans low-code tools, Generative AI, and Agentic AI. Through live demonstrations and practical examples, you’ll see how to import, explore, visualize, model, and process data using interactive tools that require […]
Presenter: Joshua Schraiber, Research Scientist, University of Southern California and Cornell University Description: The advent of biobank data has presented an unprecedented opportunity to understand the evolutionary history of the human species. By collecting genotype data from hundreds of thousands of individuals, we can look closely at recent evolutionary history, including recent demography, mutation rates, […]
Presenter: Rafael Cabral, Member of Technical Staff, Axiom Math Description: Latent Gaussian models (LGMs) are among the most widely used classes of statistical models, with applications ranging from biostatistics to spatial modeling. Their central assumption, that the latent variables are Gaussian, is nevertheless rarely checked. Many datasets contain sudden jumps or local spikes that a […]