Harini Suresh

According to our database, Harini Suresh authored at least 28 papers between 2015 and 2024.

Collaborative distances:

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

2024

Participation in the age of foundation models.

Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Context and Participation in Machine Learning

Harini Suresh

PhD thesis, 2023

Use large language models to promote equity.

Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa

CoRR, 2023

Saliency Cards: A Framework to Characterize and Compare Saliency Methods.

Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Kaleidoscope: Semantically-grounded, context-specific ML model evaluation.

Harini Suresh, Divya Shanmugam, Tiffany Chen, Annie G. Bryan, Alexander D'Amour, John V. Guttag, Arvind Satyanarayan

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence.

Catherine D'Ignazio, Isadora Cruxên, Helena Suárez Val, Angeles Martinez Cuba, Mariel García-Montes, Silvana Fumega, Harini Suresh, Wonyoung So

Patterns, 2022

Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

J. Mach. Learn. Res., 2022

Improved Text Classification via Test-Time Augmentation.

Helen Lu, Divya Shanmugam, Harini Suresh, John V. Guttag

CoRR, 2022

Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods.

Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan

CoRR, 2022

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs.

Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection.

Harini Suresh, Rajiv Movva, Amelia Lee Dogan, Rahul Bhargava, Isadora Cruxen, Angeles Martinez Cuba, Guilia Taurino, Wonyoung So, Catherine D'Ignazio

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Tech Worker Organizing for Power and Accountability.

William Boag, Harini Suresh, Bianca Lepe, Catherine D'Ignazio

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Do as AI say: susceptibility in deployment of clinical decision-aids.

Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi

npj Digit. Medicine, 2021

A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle.

Harini Suresh, John V. Guttag

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs.

Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making.

Harini Suresh, Natalie Lao, Ilaria Liccardi

Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

2019

Image segmentation of liver stage malaria infection with spatial uncertainty sampling.

Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia

CoRR, 2019

A Framework for Understanding Unintended Consequences of Machine Learning.

Harini Suresh, John V. Guttag

CoRR, 2019

2018

Approximate Communication: Techniques for Reducing Communication Bottlenecks in Large-Scale Parallel Systems.

Filipe Betzel, S. Karen Khatamifard, Harini Suresh, David J. Lilja, John Sartori, Ulya R. Karpuzcu

ACM Comput. Surv., 2018

Modeling Mistrust in End-of-Life Care.

Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2018

Racial Disparities and Mistrust in End-of-Life Care.

Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2018

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU.

Harini Suresh, Jen J. Gong, John V. Guttag

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs.

Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

The Use of Autoencoders for Discovering Patient Phenotypes.

Harini Suresh, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2017

Clinical Intervention Prediction and Understanding using Deep Networks.

Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2017

Clinical Intervention Prediction and Understanding with Deep Neural Networks.

Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Machine Learning for Health Care Conference, 2017

Approximate compression: enhancing compressibility through data approximation.

Harini Suresh, Shashank Hegde, John Sartori

Proceedings of the 15th IEEE/ACM Symposium on Embedded Systems for Real-Time Multimedia, 2017

2015

Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews.

Harini Suresh, Nicholas Locascio

CoRR, 2015