Title: High Dimensional Expanders: Structure and Applications Abstract: Expanders are graphs that are both edge-sparse and well connected. They have been an instrumental tool in many results in mathematics and computer […]
Title: A Global View of Locality Through the Lens of Distributed Computing, Parallel Computing, and Learning Theory Abstract: Locality, i.e. computing under partial knowledge, is a fundamental challenge that can […]
Abstract: The field of artificial intelligence (AI) is undergoing a paradigm shift, moving from neural networks trained for narrowly defined tasks (e.g., image classification and machine translation) to general-purpose models […]
