Amirata Ghorbani

According to our database, Amirata Ghorbani authored at least 26 papers between 2017 and 2023.

Collaborative distances:

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

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, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad

npj Digit. Medicine, 2023

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, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad

npj Digit. Medicine, 2022

Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics.

Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Y. Zou

Inf., 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, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

CoRR, 2022

Data Shapley Valuation for Efficient Batch Active Learning.

Amirata Ghorbani, James Zou, Andre Esteva

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning.

Amirata Ghorbani, Andre Esteva, James Zou

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

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

How Does Mixup Help With Robustness and Generalization?

Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Adversarial Robustness via Unlabeled Out-of-Domain Data.

Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data.

Gal Yona, Amirata Ghorbani, James Zou

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

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

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

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

Neuron Shapley: Discovering the Responsible Neurons.

Amirata Ghorbani, James Y. Zou

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

A Distributional Framework For Data Valuation.

Amirata Ghorbani, Michael P. Kim, James Zou

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data.

Gal Yona, Amirata Ghorbani, James Y. Zou

CoRR, 2019

Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks.

Amirata Ghorbani, James Wexler, Been Kim

CoRR, 2019

Towards Automatic Concept-based Explanations.

Amirata Ghorbani, James Wexler, James Y. Zou, Been Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DermGAN: Synthetic Generation of Clinical Skin Images with Pathology.

Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu

Proceedings of the Machine Learning for Health Workshop, 2019

Data Shapley: Equitable Valuation of Data for Machine Learning.

Amirata Ghorbani, James Y. Zou

Proceedings of the 36th International Conference on Machine Learning, 2019

Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees.

Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification.

Michael P. Kim, Amirata Ghorbani, James Y. Zou

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Interpretation of Neural Networks Is Fragile.

Amirata Ghorbani, Abubakar Abid, James Y. Zou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Embedding for Informative Missingness: Deep Learning With Incomplete Data.

Amirata Ghorbani, James Y. Zou

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Blind Iterative Nonlinear Distortion Compensation Based on Thresholding.

Masoumeh Azghani, Amirata Ghorbani, Farokh Marvasti

IEEE Trans. Circuits Syst. II Express Briefs, 2017