Events Calendar

CS Colloquium: Justin Solomon (MIT) - Navigating, Restructuring and Reshaping Learned Latent Spaces

Speaker: Justin Solomon, MIT

Talk Title: Navigating, Restructuring and Reshaping Learned Latent Spaces

Abstract: Modern machine learning architectures often embed their inputs into a lower-dimensional latent space before generating a final output.  A vast set of empirical results---and some emerging theory---predicts that these lower-dimensional codes often are highly structured, capturing lower-dimensional variation in the data.  Based on this observation, in this talk I will describe efforts in my group to develop lightweight algorithms that navigate, restructure, and reshape learned latent spaces.  Along the way, I will consider a variety of practical problems in machine learning, including low-rank adaptation of large models, regularization to promote local latent structure, and efficient training/evaluation of generative models.  This talk will cover collaborative research with Rickard Gabrielsson, Kimia Nadjahi, Chris Scarvelis, Tal Shnitzer, Mikhail Yurochkin, Jiacheng Zhu, and others.
 
This lecture satisfies requirements for CSCI 591: Research Colloquium

Biography: Justin Solomon is an Associate Professor of Electrical Engineering and Computer Science at MIT.  He leads the Geometric Data Processing Group in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), which studies problems at the intersection of geometry, large-scale optimization, and applications.

Host: Yue Wang

Location: Olin Hall of Engineering (OHE) - 132

Audiences: Everyone (USC) is invited

Contact: CS Faculty Affairs