Blind Iterative Nonlinear Distortion Compensation Based on Thresholding. - Masoumeh Azghani; Amirata Ghorbani; Farokh Marvasti (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Embedding for Informative Missingness: Deep Learning With Incomplete Data. - Amirata Ghorbani; James Y. Zou (Allerton, 2018)

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

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. - Michael P. Kim; Amirata Ghorbani; James Y. Zou (AIES, 2019)

Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees. - Jaime Roquero Gimenez; Amirata Ghorbani; James Y. Zou (AISTATS, 2019)

Data Shapley: Equitable Valuation of Data for Machine Learning. - Amirata Ghorbani; James Y. Zou (ICML, 2019)

DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. - Amirata Ghorbani; Vivek Natarajan; David Coz; Yuan Liu (ML4H@NeurIPS, 2019)

Towards Automatic Concept-based Explanations. - Amirata Ghorbani; James Wexler; James Y. Zou; Been Kim (NeurIPS, 2019)

Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks. - Amirata Ghorbani; James Wexler; Been Kim (CoRR, 2019)

Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. - Gal Yona; Amirata Ghorbani; James Y. Zou (CoRR, 2019)

A Distributional Framework For Data Valuation. - Amirata Ghorbani; Michael P. Kim; James Zou 001 (ICML, 2020)

Neuron Shapley: Discovering the Responsible Neurons. - Amirata Ghorbani; James Y. Zou (NeurIPS, 2020)

Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. - Siyi Tang; Amirata Ghorbani; Rikiya Yamashita; Sameer Rehman; Jared A. Dunnmon; James Y. Zou; Daniel L. Rubin (CoRR, 2020)

Video-based AI for beat-to-beat assessment of cardiac function. - David Ouyang; Bryan He; Amirata Ghorbani; Neal Yuan; Joseph Ebinger; Curtis P. Langlotz; Paul A. Heidenreich; Robert A. Harrington; David H. Liang; Euan A. Ashley; James Y. Zou (Nat., 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)

Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. - Gal Yona; Amirata Ghorbani; James Zou 001 (AIES, 2021)

Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. - Zhun Deng; Linjun Zhang; Amirata Ghorbani; James Zou 001 (AISTATS, 2021)

How Does Mixup Help With Robustness and Generalization? - Linjun Zhang; Zhun Deng; Kenji Kawaguchi; Amirata Ghorbani; James Zou 001 (ICLR, 2021)

Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions. - Ramin Ansari; Amirata Ghorbani (CoRR, 2021)

Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. - Amirata Ghorbani; Andre Esteva; James Zou 001 (IEEECONF, 2022)

Data Shapley Valuation for Efficient Batch Active Learning. - Amirata Ghorbani; James Zou 001; Andre Esteva (IEEECONF, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. - Amirata Ghorbani; Dina Berenbaum; Maor Ivgi; Yuval Dafna; James Y. Zou (Inf., 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2023)