
Andrew
Gordon Wilson
We are a research group at Cornell
University, wishing to understand the foundations of
learning and decision making towards developing
intelligent systems. We often (1) take a probabilistic
approach; (2) care about automatically discovering
scientifically interpretable structure in data; and (3)
are excited about bridging connections with scientific
computing. We are particularly active in building methods
for probabilistic deep learning, scalable Gaussian
processes, kernel learning, and training of deep neural
networks. We believe in open and reproducible research. If
you'd like to try out these methods check out our code
page.
Group Leader
Andrew Gordon Wilson
Postdoctoral Fellow
Jacob Gardner
PhD Students
Ben Athiwaratkun
Marc Finzi
William Herlands
Pavel Izmailov
Polina Kirichenko
Wesley Maddox
Samuel Stanton
Ruqi Zhang
Masters Students
Michael Luo
Visitors
Yash Sharma
Alumni
Patrick Nicholson (Masters)