Pierre Baldi and Alexander Shmakov
Department of Computer Science, UC Irvine
- Date & time
- Monday, May 8, 2023 · 1:00 PM
- Location
- Donald Bren Hall 4011
Abstract
The Baldi group will present ongoing progress in the theory and applications of deep learning. On the theory side, we will discuss homogeneous activation functions and their important connections to the concept of generalized neural balance. On the application side, we will present applications of neural transformers to physics, in particular for the assignment of observation measurements to the leaves of partial Feynman diagrams in particle physics. In these applications, the permutation invariance properties of transformers are used to capture fundamental symmetries (e.g. matter vs antimatter) in the laws of physics.
About the speaker
Pierre Baldi is a Distinguished Professor with the Department of Computer Science, Director of the Institute for Genomics and Bioinformatics, and Associate Director of the Center for Machine Learning and Intelligent Systems at UC Irvine. Alexander Shmakov is a Ph.D. student in the Baldi research group working on applications of deep learning to planning, robotic control, high energy physics, astronomy, chemical synthesis, and biology.