Seminars
Upcoming Seminars
A Data-Driven Framework for Flood Mitigation Using Transformers and Reinforcement Learning
Speaker: Shaoping Xiao, Department of Mechanical Engineering
Colloquium - A Hessian View of Fine-tuning, Task Attribution, and Reinforcement Learning: Three Vignettes in Modern Machine Learning
Past Seminars
Towards unlocking the mystery of adversarial fragility of neural networks
Speaker: Weiyu Xu, Dept. of Electrical and Computer Engineering
The Central Role of AMCS in Advancing the State-of-the-Art in Computer Science
Speaker: Rahul Singh, Dept. of Computer Science
Mathematics Special Lecture - Isaac Goldbring; University of California, Irvine
Title: A model theorist’s perspective on the Connes Embedding Problem (and its resolution)
Abstract: In 2020, a group of computer scientists resolved the Connes Embedding Problem (CEP) from von Neumann algebra theory. In this informal talk, I’ll explain how basic ideas from mathematical logic can be used to simplify and strengthen the resolution of the CEP from the computer science result.
Professor Goldbring is giving a colloquium talk, Effective metric structure theory and operator algebras, at...
When Deep Learning Meets Polyhedral Theory
Speaker: Thiago Serra Azevedo Silva, Dept. of Business Analytics
Deepest Cuts for Benders Decomposition
Speaker: Mojtaba Hosseini, Dept. of Business Analytics