Hartvigsen, Thomas

26 publications

TMLR 2025 ADMIRE-BayesOpt: Accelerated Data MIxture RE-Weighting for Language Models with Bayesian Optimization Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
ICML 2025 BalancEdit: Dynamically Balancing the Generality-Locality Trade-Off in Multi-Modal Model Editing Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
NeurIPS 2025 BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab
ICLR 2025 Composable Interventions for Language Models Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
NeurIPS 2025 Constrained Discrete Diffusion Michael Cardei, Jacob K Christopher, Bhavya Kailkhura, Thomas Hartvigsen, Ferdinando Fioretto
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
ICLR 2025 Learning Under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
ICML 2025 Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity Ahmed Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack
CPAL 2025 Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen
ICML 2025 WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen
NeurIPS 2024 Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
NeurIPS 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi
ICLRW 2024 Composing Knowledge and Compression Interventions for Language Models Arinbjörn Kolbeinsson, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
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
NeurIPSW 2024 Time Series Under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
NeurIPS 2024 UniTS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
ICMLW 2023 A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning Haoran Zhang, Qixuan Jin, Thomas Hartvigsen, Miriam Udler, Marzyeh Ghassemi
ICMLW 2023 Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P Amini
ICMLW 2023 Identifying Implicit Social Biases in Vision-Language Models Kimia Hamidieh, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi
AAAI 2023 Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner
NeurIPSW 2022 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
NeurIPSW 2022 Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction Qixuan Jin, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi
NeurIPSW 2022 Real World Relevance of Generative Counterfactual Explanations Swami Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi, Phillip Isola
AAAI 2022 Recovering the Propensity Score from Biased Positive Unlabeled Data Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
AAAI 2021 Semi-Supervised Knowledge Amalgamation for Sequence Classification Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
ECML-PKDD 2017 CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining Cansu Sen, Thomas Hartvigsen, Elke A. Rundensteiner, Kajal T. Claypool