Ghassemi, Marzyeh

67 publications

CHIL 2025 A Study of Artifacts on Melanoma Classification Under Diffusion-Based Perturbations Qixuan Jin, Marzyeh Ghassemi

NeurIPS 2025 Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations Olawale Elijah Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi

NeurIPS 2025 An Investigation of Memorization Risk in Healthcare Foundation Models Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi

NeurIPS 2025 KScope: A Framework for Characterizing the Knowledge Status of Language Models Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi

ICML 2025 LEMoN: Label Error Detection Using Multimodal Neighbors Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

NeurIPS 2025 Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models Chantal Shaib, Vinith Menon Suriyakumar, Byron C Wallace, Marzyeh Ghassemi

NeurIPS 2025 On Group Sufficiency Under Label Bias Haoran Zhang, Olawale Elijah Salaudeen, Marzyeh Ghassemi

ICML 2025 Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi

CVPR 2025 Vision-Language Models Do Not Understand Negation Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li, Philip H.S. Torr, Yoon Kim, Marzyeh Ghassemi

ICML 2024 Asymmetry in Low-Rank Adapters of Foundation Models Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez De Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

ICLRW 2024 Asymmetry in Low-Rank Adapters of Foundation Models Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

NeurIPS 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi

CHIL 2024 Conference on Health, Inference, and Learning (CHIL) 2024 Tom Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi

MLHC 2024 Event-Based Contrastive Learning for Medical Time Series Nassim Oufattole, Hyewon Jeong, Matthew B.A. McDermott, Aparna Balagopalan, Bryan Jangeesingh, Marzyeh Ghassemi, Collin Stultz

TMLR 2024 Improving Black-Box Robustness with In-Context Rewriting Kyle O'Brien, Nathan Hoyen Ng, Isha Puri, Jorge Mendez-Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen

NeurIPS 2024 Improving Subgroup Robustness via Data Selection Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Mądry

NeurIPSW 2024 LEMoN: Label Error Detection Using Multimodal Neighbors Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

NeurIPS 2024 MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, Hae Won Park

ICML 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions Nathan Hoyen Ng, Roger Baker Grosse, Marzyeh Ghassemi

ICML 2024 Position: Application-Driven Innovation in Machine Learning David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

ICLR 2024 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi

ICML 2023 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

ICMLW 2023 A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning Haoran Zhang, Qixuan Jin, Thomas Hartvigsen, Miriam Udler, Marzyeh Ghassemi

NeurIPS 2023 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

NeurIPSW 2023 Better than Balancing: Debiasing Through Data Attribution Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Marzyeh Ghassemi, Aleksander Madry

ICML 2023 Change Is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi

CHIL 2023 Clinical Relevance Score for Guided Trauma Injury Pattern Discovery with Weakly Supervised $β$-VAE Qixuan Jin, Jacobien HF Oosterhoff, Yepeng Huang, Marzyeh Ghassemi, Gabriel A Brat

MLHC 2023 Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi

NeurIPSW 2023 Event-Based Contrastive Learning for Medical Time Series Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew B.A. McDermott, Payal Chandak, Marzyeh Ghassemi, Collin Stultz

ICMLW 2023 Identifying Implicit Social Biases in Vision-Language Models Kimia Hamidieh, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi

NeurIPSW 2023 On Mitigating Shortcut Learning for Fair Chest X-Ray Classification Under Distribution Shift Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi

TMLR 2023 Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Hoyen Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi

TMLR 2023 Risk Sensitive Dead-End Identification in Safety-Critical Offline Reinforcement Learning Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi

NeurIPS 2023 VisAlign: Dataset for Measuring the Alignment Between AI and Humans in Visual Perception Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O-Kil Kwon, Edward Choi

ICML 2023 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun

NeurIPSW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

NeurIPSW 2022 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

CHIL 2022 Counterfactually Guided Policy Transfer in Clinical Settings Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi

ICMLW 2022 Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations Kimia Hamidieh, Haoran Zhang, Marzyeh Ghassemi

NeurIPSW 2022 Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction Qixuan Jin, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi

NeurIPSW 2022 Feature Restricted Group Dropout for Robust Electronic Health Record Predictions Bret Nestor, Anna Goldenberg, Marzyeh Ghassemi

NeurIPS 2022 If Influence Functions Are the Answer, Then What Is the Question? Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B Grosse

ICLR 2022 Improving Mutual Information Estimation with Annealed and Energy-Based Bounds Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani

CHIL 2022 Improving the Fairness of Chest X-Ray Classifiers Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi

ICLR 2022 Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi

NeurIPSW 2022 Just Following AI Orders: When Unbiased People Are Influenced by Biased AI Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, Marzyeh Ghassemi

NeurIPSW 2022 Real World Relevance of Generative Counterfactual Explanations Swami Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi, Phillip Isola

CHIL 2022 Semi-Markov Offline Reinforcement Learning for Healthcare Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson, Stuart J Connolly, Alexander Benz, Anthony Carnicelli, Marzyeh Ghassemi

ICLR 2022 Understanding the Variance Collapse of SVGD in High Dimensions Jimmy Ba, Murat A Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang

CVPRW 2022 Uniform Priors for Data-Efficient Learning Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg

NeurIPSW 2022 Unsupervised Deep Metric Learning for the Inference of Hemodynamic Value with Electrocardiogram Signals Hyewon Jeong, Marzyeh Ghassemi, Collin Stultz

NeurIPSW 2022 When Personalization Harms: Reconsidering the Use of Group Attributes of Prediction Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun

NeurIPS 2021 Characterizing Generalization Under Out-of-Distribution Shifts in Deep Metric Learning Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Bjorn Ommer

NeurIPS 2021 Learning Optimal Predictive Checklists Haoran Zhang, Quaid D. Morris, Berk Ustun, Marzyeh Ghassemi

NeurIPS 2021 Medical Dead-Ends and Learning to Identify High-Risk States and Treatments Mehdi Fatemi, Taylor W Killian, Jayakumar Subramanian, Marzyeh Ghassemi

ICML 2021 Simultaneous Similarity-Based Self-Distillation for Deep Metric Learning Karsten Roth, Timo Milbich, Bjorn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi

MLHC 2020 CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output Matthew B.A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits

MLHC 2020 Preparing a Clinical Support Model for Silent Mode in General Internal Medicine Bret Nestor, Liam G. McCoy, Amol Verma, Chloe Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi

MLHC 2019 Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi

MLHC 2019 Feature Robustness in Non-Stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

NeurIPS 2019 The Cells Out of Sample (COOS) Dataset and Benchmarks for Measuring Out-of-Sample Generalization of Image Classifiers Alex Lu, Amy Lu, Wiebke Schormann, Marzyeh Ghassemi, David Andrews, Alan Moses

MLHC 2018 Racial Disparities and Mistrust in End-of-Life Care Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

AAAI 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

MLHC 2017 Clinical Intervention Prediction and Understanding with Deep Neural Networks Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

MLHC 2017 Continuous State-Space Models for Optimal Sepsis Treatment: A Deep Reinforcement Learning Approach Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

MLHC 2016 Uncovering Voice Misuse Using Symbolic Mismatch Marzyeh Ghassemi, Zeeshan Syed, Daryush Mehta, Jarrad Van Stan, Robert Hillman, John Guttag

AAAI 2015 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