Search Results - Nori, Harsha

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  1. 1
    Predicting severe maternal morbidity at admission for delivery using intelligible machine learning

    Predicting severe maternal morbidity at admission for delivery using intelligible machine learning by Xu, Zifei, Bosschieter, Tomas M., Lan, Hui, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Souter, Vivienne, Caruana, Rich

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  2. 2
    Unique insights into risk factors for antepartum stillbirth using explainable AI

    Unique insights into risk factors for antepartum stillbirth using explainable AI by Bosschieter, Tomas M., Lan, Hui, Xu, Zifei, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Caruana, Rich, Souter, Vivienne

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  3. 3
    Understanding risk factors for shoulder dystocia using interpretable machine learning

    Understanding risk factors for shoulder dystocia using interpretable machine learning by Lan, Hui, Bosschieter, Tomas M., Xu, Zifei, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Souter, Vivienne, Caruana, Rich

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  4. 4
    Preterm preeclampsia prediction using intelligible machine learning

    Preterm preeclampsia prediction using intelligible machine learning by Bosschieter, Tomas M., Xu, Zifei, Lan, Hui, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Caruana, Rich, Souter, Vivienne

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  5. 5
    Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes

    Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes by Bosschieter, Tomas M., Xu, Zifei, Lan, Hui, Lengerich, Benjamin J., Nori, Harsha, Painter, Ian, Souter, Vivienne, Caruana, Rich

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  6. 6
    Supporting Human-AI Collaboration in Auditing LLMs with LLMs

    Supporting Human-AI Collaboration in Auditing LLMs with LLMs by Rastogi, Charvi, Ribeiro, Marco Tulio, King, Nicholas, Nori, Harsha, Amershi, Saleema

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  7. 7
    Elephants Never Forget: Testing Language Models for Memorization of Tabular Data

    Elephants Never Forget: Testing Language Models for Memorization of Tabular Data by Bordt, Sebastian, Nori, Harsha, Caruana, Rich

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  8. 8
    Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes

    Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes by Bosschieter, Tomas M, Xu, Zifei, Lan, Hui, Lengerich, Benjamin J, Nori, Harsha, Painter, Ian, Souter, Vivienne, Caruana, Rich

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  9. 9
    Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models

    Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models by Bordt, Sebastian, Nori, Harsha, Rodrigues, Vanessa, Nushi, Besmira, Caruana, Rich

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  10. 10
    Differentially Private Synthetic Data via Foundation Model APIs 1: Images

    Differentially Private Synthetic Data via Foundation Model APIs 1: Images by Lin, Zinan, Sivakanth Gopi, Kulkarni, Janardhan, Nori, Harsha, Yekhanin, Sergey

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  11. 11
    Comparing Population Means Under Local Differential Privacy: With Significance and Power

    Comparing Population Means Under Local Differential Privacy: With Significance and Power by Ding, Bolin, Nori, Harsha, Li, Paul, Allen, Joshua

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  12. 12
    Data Science with LLMs and Interpretable Models

    Data Science with LLMs and Interpretable Models by Bordt, Sebastian, Lengerich, Ben, Nori, Harsha, Caruana, Rich

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  13. 13
    From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

    From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond by Nori, Harsha, Usuyama, Naoto, King, Nicholas, Scott Mayer McKinney, Fernandes, Xavier, Zhang, Sheng, Horvitz, Eric

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  14. 14
    Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

    Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values by Wang, Zijie J, Kale, Alex, Nori, Harsha, Stella, Peter, Nunnally, Mark E, Duen Horng Chau, Vorvoreanu, Mihaela, Jennifer Wortman Vaughan, Caruana, Rich

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  15. 15
    Steering Language Model Refusal with Sparse Autoencoders

    Steering Language Model Refusal with Sparse Autoencoders by O'Brien, Kyle, Majercak, David, Fernandes, Xavier, Edgar, Richard, Chen, Jingya, Nori, Harsha, Carignan, Dean, Horvitz, Eric, ough Poursabzi-Sangde

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  16. 16
    LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

    LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs by Lengerich, Benjamin J, Bordt, Sebastian, Nori, Harsha, Nunnally, Mark E, Yin Aphinyanaphongs, Kellis, Manolis, Caruana, Rich

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  17. 17
    Capabilities of GPT-4 on Medical Challenge Problems

    Capabilities of GPT-4 on Medical Challenge Problems by Nori, Harsha, King, Nicholas, Scott Mayer McKinney, Carignan, Dean, Horvitz, Eric

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  18. 18
    Differentially Private Synthetic Data via Foundation Model APIs 2: Text

    Differentially Private Synthetic Data via Foundation Model APIs 2: Text by Xie, Chulin, Lin, Zinan, Backurs, Arturs, Sivakanth Gopi, Yu, Da, Inan, Huseyin A, Nori, Harsha, Jiang, Haotian, Zhang, Huishuai, Lee, Yin Tat, Li, Bo, Yekhanin, Sergey

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  19. 19
    Differentially Private Estimation of Heterogeneous Causal Effects

    Differentially Private Estimation of Heterogeneous Causal Effects by Niu, Fengshi, Nori, Harsha, Quistorff, Brian, Caruana, Rich, Ngwe, Donald, Kannan, Aadharsh

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  20. 20
    Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes

    Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes by Bosschieter, Tomas M, Xu, Zifei, Lan, Hui, Lengerich, Benjamin J, Nori, Harsha, Sitcov, Kristin, Souter, Vivienne, Caruana, Rich

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