Stefanie Jegelka

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

Stefanie Jegelka seeks to understand how machine-learning models behave, to help researchers build more robust models for applications in biology, computer vision, optimization, and more.

The Department of EECS is proud to announce the following promotions and hire: To Associate Professor with tenure Guy Bresler is being promoted to Associate Professor with tenure, effective July 1, 2022. Bresler...

The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these,...

EECS faculty member Stefanie Jegelka was among the presenters at the event, which was co-hosted by the MIT Institute for Data, Systems, and Society.