Adam Noack

About Me

I graduated from St. John's University in Minnesota in 2018 with a major in computer science and a minor in mathematics. In the fall of 2018, I began my Ph.D. in computer science at the University of Oregon, advised by Dr. Dejing Dou and Dr. Daniel Lowd. I am now in the second year of the Ph.D. program and am researching techniques to make deep neural networks more interpretable. My hope is to leverage the knowledge I gain to help build provably safe and beneficial deep learning systems.

In my free time I love to read and play basketball, guitar, and chess.

Selected Projects

Does Interpretability of Neural Networks Imply Adversarial Robustness?
arXiv Preprint, 2019

Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks
arXiv Preprint, 2019

Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan
AI-Human Collaboration Via EEG
CSBSJU Digital Commons, 2018

A. Noack, B. Faber, M. Heroux


If you have any questions, please contact me.

adamnoack1 AT gmail dot com