Joseph D. Janizek

According to our database, Joseph D. Janizek authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Visual concept ranking uncovers medical shortcuts used by large multimodal models.

Joseph D. Janizek, Sonnet Xu, Junayd Lateef, Roxana Daneshjou

CoRR, February, 2026

2025

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models.

Sonnet Xu, Joseph D. Janizek, Yixing Jiang, Roxana Daneshjou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

LAB-Bench: Measuring Capabilities of Language Models for Biology Research.

Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, Samuel G. Rodriques

CoRR, 2024

2022

Understanding Biomedical Machine Learning Models

Joseph D. Janizek

PhD thesis, 2022

2021

Improving performance of deep learning models with axiomatic attribution priors and expected gradients.

Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee

Nat. Mach. Intell., 2021

AI for radiographic COVID-19 detection selects shortcuts over signal.

Alex J. DeGrave, Joseph D. Janizek, Su-In Lee

Nat. Mach. Intell., 2021

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks.

Joseph D. Janizek, Pascal Sturmfels, Su-In Lee

J. Mach. Learn. Res., 2021

2020

True to the Model or True to the Data?

Hugh Chen, Joseph D. Janizek, Scott M. Lundberg, Su-In Lee

CoRR, 2020

Adversarial deconfounding autoencoder for learning robust gene expression embeddings.

Ayse Berceste Dincer, Joseph D. Janizek, Su-In Lee

Bioinform., 2020

Learning Deep Attribution Priors Based On Prior Knowledge.

Ethan Weinberger, Joseph D. Janizek, Su-In Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An adversarial approach for the robust classification of pneumonia from chest radiographs.

Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Learned Feature Attribution Priors.

Ethan Weinberger, Joseph D. Janizek, Su-In Lee

CoRR, 2019

Learning Explainable Models Using Attribution Priors.

Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee

CoRR, 2019