Joseph D. Janizek

16 papers A* 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Visual concept ranking uncovers medical shortcuts used by large multimodal models. CoRR Joseph D. Janizek, Sonnet Xu, Junayd Lateef, Roxana Daneshjou
2025	—	`conf`	BiasICL: In-Context Learning and Demographic Biases of Vision Language Models. MICCAI (7) Sonnet Xu, Joseph D. Janizek, Yixing Jiang, Roxana Daneshjou
2025	J	`jnl`	BiasICL: In-Context Learning and Demographic Biases of Vision Language Models. CoRR Sonnet Xu, Joseph D. Janizek, Yixing Jiang, Roxana Daneshjou
2024	J	`jnl`	LAB-Bench: Measuring Capabilities of Language Models for Biology Research. CoRR Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, Samuel G. Rodriques
2022	—	`—`	Understanding Biomedical Machine Learning Models Joseph D. Janizek
2021	J	`jnl`	AI for radiographic COVID-19 detection selects shortcuts over signal. Nat. Mach. Intell. Alex J. DeGrave, Joseph D. Janizek, Su-In Lee
2021	J	`jnl`	Explaining Explanations: Axiomatic Feature Interactions for Deep Networks. J. Mach. Learn. Res. Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
2021	J	`jnl`	Improving performance of deep learning models with axiomatic attribution priors and expected gradients. Nat. Mach. Intell. Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee
2020	J	`jnl`	Adversarial deconfounding autoencoder for learning robust gene expression embeddings. Bioinform. Ayse Berceste Dincer, Joseph D. Janizek, Su-In Lee
2020	J	`jnl`	An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs. CoRR Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee
2020	—	`conf`	An adversarial approach for the robust classification of pneumonia from chest radiographs. CHIL Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee
2020	J	`jnl`	Explaining Explanations: Axiomatic Feature Interactions for Deep Networks. CoRR Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
2020	A*	`conf`	Learning Deep Attribution Priors Based On Prior Knowledge. NeurIPS Ethan Weinberger, Joseph D. Janizek, Su-In Lee
2020	J	`jnl`	True to the Model or True to the Data? CoRR Hugh Chen, Joseph D. Janizek, Scott M. Lundberg, Su-In Lee
2019	J	`jnl`	Learned Feature Attribution Priors. CoRR Ethan Weinberger, Joseph D. Janizek, Su-In Lee
2019	J	`jnl`	Learning Explainable Models Using Attribution Priors. CoRR Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee