Past Events

On small and large scales in training physics-informed neural networks for partial differential equations

Data Science Seminar

Zhongqiang Zhang (Worcester Polytechnic Institute)

Computer vision, mostly without AI

Industrial Problems Seminar 

Elena Yudovina (CyberOptics)

Fourier representations for fast Gaussian process regression

Data Science Seminar

Philip Greengard (Columbia University)

Math in Sports, for Fun and Profit

Industrial Problems Seminar

John Sears (Los Angeles Dodgers)

Random High-Dimensional Binary Vectors, Kernel Methods, and Hyperdimensional Computing

Data Science Seminar

Nicholas Marshall (Oregon State University)

Data Science Career in Tech Companies

Industrial Problems Seminar 

Jeremy Gu (Shipt)

Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations

Data Science Seminar

Casey Garner (University of Minnesota)

Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations

IMA Data Science Seminar

Casey Garner (University of Minnesota)

Applications of Artificial Intelligence in Smart Manufacturing – The Cargill Perspective

Industrial Problems Seminar 

Abhishek Roy (Cargill)

The effect of Leaky ReLUs on the training and generalization of overparameterized networks

Data Science Seminar

Yinglong Guo (University of Minnesota)