Joseph D. Janizek

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Prior Knowledge

Feature Interactions

Subspace Methods

Chest Radiographs

Top Venues

Nat. Mach. Intell.

J. Mach. Learn. Res.

Publications

Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, Samuel G. Rodriques
LAB-Bench: Measuring Capabilities of Language Models for Biology Research. CoRR (2024)
Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee
Improving performance of deep learning models with axiomatic attribution priors and expected gradients. Nat. Mach. Intell. 3 (7) (2021)
Alex J. DeGrave, Joseph D. Janizek, Su-In Lee
AI for radiographic COVID-19 detection selects shortcuts over signal. Nat. Mach. Intell. 3 (7) (2021)
Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks. J. Mach. Learn. Res. 22 (2021)
Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee
An adversarial approach for the robust classification of pneumonia from chest radiographs. CHIL (2020)
Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks. CoRR (2020)
Ethan Weinberger, Joseph D. Janizek, Su-In Lee
Learning Deep Attribution Priors Based On Prior Knowledge. NeurIPS (2020)
Hugh Chen, Joseph D. Janizek, Scott M. Lundberg, Su-In Lee
True to the Model or True to the Data? CoRR (2020)
Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs. CoRR (2020)
Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee
Learning Explainable Models Using Attribution Priors. CoRR (2019)
Ethan Weinberger, Joseph D. Janizek, Su-In Lee
Learned Feature Attribution Priors. CoRR (2019)