Marzyeh Ghassemi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
15
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. | Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, Wenxuan Zhou |
| 2025 | CVPR | Vision-Language Models Do Not Understand Negation. | Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li, Philip H. S. Torr, Yoon Kim, Marzyeh Ghassemi |
| 2025 | EMNLP | MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. | Genglin Liu, Vivian T. Le, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel |
| 2025 | ICIS | Are We Better Together? Investigating the Value of Human-AI Collaboration for Online Health Communities. | Danielly de Paula, Nikita Shishelyakin, Vanessa Kipping, Yuexing Hao, Aparna Balagopalan, Marzyeh Ghassemi, Ariel Dora Stern |
| 2025 | ICML | LEMoN: Label Error Detection using Multimodal Neighbors. | Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi |
| 2025 | ICML | Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. | Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi |
| 2025 | WWW | What's in a Query: Polarity-Aware Distribution-Based Fair Ranking. | Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi |
| 2024 | AIES | Identifying Implicit Social Biases in Vision-Language Models. | Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi |
| 2024 | CHI | Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention. | Adiba Orzikulova, Han Xiao, Zhipeng Li, Yukang Yan, Yuntao Wang, Yuanchun Shi, Marzyeh Ghassemi, Sung-Ju Lee, Anind K. Dey, Xuhai Xu |
| 2024 | EMNLP | MisinfoEval: Generative AI in the Era of "Alternative Facts". | Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar |
| 2024 | EMNLP | Can AI Relate: Testing Large Language Model Response for Mental Health Support. | Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi |
| 2024 | ICLR | Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation. | Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi |
| 2024 | ICML | Measuring Stochastic Data Complexity with Boltzmann Influence Functions. | Nathan H. Ng, Roger Baker Grosse, Marzyeh Ghassemi |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2024 | ICML | Asymmetry in Low-Rank Adapters of Foundation Models. | Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sez de Ocriz Borde, Rickard Brel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon |
| 2024 | MICCAI | FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. | Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi |
| 2023 | AIES | Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. | Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi |
| 2023 | CHI | Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward. | Anja Thieme, Aditya V. Nori, Marzyeh Ghassemi, Rishi Bommasani, Tariq Osman Andersen, Ewa Luger |
| 2023 | ICML | When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction. | Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun |
| 2023 | ICML | Change is Hard: A Closer Look at Subpopulation Shift. | Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi |
| 2023 | ICML | "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts. | Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi |
| 2022 | AIES | Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. | Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi |
| 2022 | CHI | Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients. | Minfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier |
| 2022 | CVPR | Uniform Priors for Data-Efficient Learning. | Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg |
| 2022 | ICLR | Understanding the Variance Collapse of SVGD in High Dimensions. | Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang |
| 2022 | ICLR | Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. | Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani |
| 2022 | ICLR | Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. | Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi |
| 2021 | AMIA | Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. | Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric J. Topol |
| 2021 | CIKM | Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. | Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi |
| 2021 | ICML | Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. | Karsten Roth, Timo Milbich, Bjrn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi |
| 2021 | PSB | CheXclusion: Fairness gaps in deep chest X-ray classifiers. | Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi |
| 2020 | EMNLP | SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. | Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi |
| 2019 | ICLR | Reproducibility in Machine Learning for Health. | Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini |
| 2018 | AAAI | 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 |
| 2015 | AAAI | A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. | Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng |
| 2014 | KDD | Unfolding physiological state: mortality modelling in intensive care units. | Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits |
| 2013 | AMIA | Probabilistically Populated Medical Record Templates: Reducing Clinical Documentation Time Using Patient Cooperation. | Tristan Naumann, Marzyeh Ghassemi, Andreea Bodnari, Rohit Joshi |