Model-based estimation of pulmonary compliance and resistance parameters from time-based capnography. - Abubakar Abid; Rebecca J. Mieloszyk; George C. Verghese; Baruch S. Krauss; Thomas Heldt (EMBC, 2015)

Contrastive Principal Component Analysis. - Abubakar Abid; Vivek Kumar Bagaria; Martin J. Zhang; James Y. Zou (CoRR, 2017)

Model-Based Estimation of Respiratory Parameters from Capnography, With Application to Diagnosing Obstructive Lung Disease. - Abubakar Abid; Rebecca J. Mieloszyk; George C. Verghese; Baruch S. Krauss; Thomas Heldt (IEEE Trans. Biomed. Eng., 2017)

A Stochastic Expectation-Maximization Approach to Shuffled Linear Regression. - Abubakar Abid; James Y. Zou (Allerton, 2018)

An Enhanced Mechanistic Model For Capnography, With Application To CHF-COPD Discrimination. - Ekin Karasan; Abubakar Abid; Rebecca J. Mieloszyk; Baruch S. Krauss; Thomas Heldt; George C. Verghese (EMBC, 2018)

Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. - Abubakar Abid; James Y. Zou (NeurIPS, 2018)

Stochastic EM for Shuffled Linear Regression. - Abubakar Abid; James Y. Zou (CoRR, 2018)

Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. - Abubakar Abid; James Y. Zou (CoRR, 2018)

Interpretation of Neural Networks Is Fragile. - Amirata Ghorbani; Abubakar Abid; James Y. Zou (AAAI, 2019)

Contrastive Multivariate Singular Spectrum Analysis. - Abdi-Hakin Dirie; Abubakar Abid; James Y. Zou (Allerton, 2019)

Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. - Muhammed Fatih Balin; Abubakar Abid; James Y. Zou (ICML, 2019)

Contrastive Variational Autoencoder Enhances Salient Features. - Abubakar Abid; James Y. Zou (CoRR, 2019)

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild. - Abubakar Abid; Ali Abdalla; Ali Abid; Dawood Khan; Abdulrahman Alfozan; James Y. Zou (CoRR, 2019)

Improving Training on Noisy Stuctured Labels. - Abubakar Abid; James Y. Zou (CoRR, 2020)

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. - Kexin Huang; Tianfan Fu; Dawood Khan; Ali Abid; Ali Abdalla; Abubakar Abid; Lucas M. Glass; Marinka Zitnik; Cao Xiao; Jimeng Sun 001 (CoRR, 2020)

An online platform for interactive feedback in biomedical machine learning. - Abubakar Abid; Ali Abdalla; Ali Abid; Dawood Khan; Abdulrahman Alfozan; James Zou 001 (Nat. Mach. Intell., 2020)

Deep learning interpretation of echocardiograms. - Amirata Ghorbani; David Ouyang; Abubakar Abid; Bryan He; Jonathan H. Chen; Robert A. Harrington; David H. Liang; Euan A. Ashley; James Y. Zou (npj Digit. Medicine, 2020)

Persistent Anti-Muslim Bias in Large Language Models. - Abubakar Abid; Maheen Farooqi; James Zou 001 (AIES, 2021)

Meaningfully Explaining a Model's Mistakes. - Abubakar Abid; James Zou 001 (CoRR, 2021)

Large language models associate Muslims with violence. - Abubakar Abid; Maheen Farooqi; James Zou 001 (Nat. Mach. Intell., 2021)

Clustering Plotted Data by Image Segmentation. - Tarek Naous; Srinjay Sarkar; Abubakar Abid; James Zou 001 (CVPR, 2022)

Meaningfully debugging model mistakes using conceptual counterfactual explanations. - Abubakar Abid; Mert Yüksekgönül; James Zou 001 (ICML, 2022)

Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. - Kailas Vodrahalli; Justin Ko; Albert S. Chiou; Roberto A. Novoa; Abubakar Abid; Michelle Phung; Kiana Yekrang; Paige Petrone; James Zou 001; Roxana Daneshjou (CoRR, 2022)

AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages. - Chris Chinenye Emezue; Sanchit Gandhi; Lewis Tunstall; Abubakar Abid; Joshua Meyer; Quentin Lhoest; Pete Allen; Patrick von Platen; Douwe Kiela; Yacine Jernite; Julien Chaumond; Merve Noyan; et al. (AfricaNLP, 2023)

STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map. - Ammar Sherif; Abubakar Abid; Mustafa Elattar 001; Mohamed ElHelw (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)