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Pierson, Emma

  1. Concept Bottleneck Models
    2020/07/09 by Pang Wei Koh, Thao Nguyen, Koh, Pang Wei +11 · 136 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Bioinformatics #Metabolomics and Mass Spectrometry Studies #Machine Learning in Healthcare
  2. WILDS: A Benchmark of in-the-Wild Distribution Shifts
    2020/12/14 by Pang Wei Koh, Koh, Pang Wei, Shiori Sagawa +43 · 99 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  3. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
    2024/06/03 by Shuyue Stella Li, Li, Shuyue Stella, Vidhisha Balachandran +11 · 29 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  4. Sparse Autoencoders for Hypothesis Generation
    2025/02/05 by Rajiv Movva, Movva, Rajiv, Kenny Peng +7 · 4 voices · 10 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computational Physics and Python Applications #Machine Learning and Data Classification #cs.AI #cs.CL #cs.CY
  5. Annotation alignment: Comparing LLM and human annotations of conversational safety
    2024/06/10 by Movva, Rajiv, Koh, Pang Wei, Pierson, Emma · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  6. Coarse race data conceals disparities in clinical risk score performance
    2023/04/18 by Movva, Rajiv, Shanmugam, Divya, Hou, Kaihua +4 · 5 citations
    #Applications (stat.AP) #Computers and Society (cs.CY) #FOS: Computer and information sciences #J.3 #K.4.2 #Machine Learning (cs.LG)
  7. LLMs generate structurally realistic social networks but overestimate political homophily
    2024/08/29 by Serina Chang, Chang, Serina, Alicja Chaszczewicz +9 · 7 citations
    Business, Management and Accounting · Social Sciences · #FinTech, Crowdfunding, Digital Finance #Political Influence and Corporate Strategies #Social Capital and Networks
  8. Position: Use Sparse Autoencoders to Discover Unknowns
    2025/06/30 by Kenny Peng, Rajiv Movva, Peng, Kenny +7 · 3 voices · 9 citations
    Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis #Misinformation and Its Impacts
  9. Fast Threshold Tests for Detecting Discrimination
    2017/02/27 by Emma Pierson, Sam Corbett‐Davies, Pierson, Emma +3 · 2 citations
    Mathematics · Computer Science · #Statistical Methods and Inference #Imbalanced Data Classification Techniques #Machine Learning and Algorithms
  10. Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems
    2023/05/27 by Smitha Milli, Milli, Smitha, Emma Pierson +3 · 3 citations
    Business, Management and Accounting · Decision Sciences · #Advanced Bandit Algorithms Research #Consumer Market Behavior and Pricing #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
    2025/10/30 by Rajiv Movva, Movva, Rajiv, Smitha Milli +5 · 1 voice · 7 citations
    #cs.CL #cs.AI
  12. Advancing Science- and Evidence-based AI Policy
    2025/07/31 by Rishi Bommasani, Bommasani, Rishi, Sanjeev Arora +37 · 1 voice · 6 citations
    Medicine · Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences
  13. Inferring fine-grained migration patterns across the United States
    2025/03/26 by Gabriel Agostini, Agostini, Gabriel, Rachel Young +7 · 4 voices · 1 citation
    #cs.CY
  14. How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
    2022/11/22 by Charvi Rastogi, Ivan Stelmakh, Rastogi, Charvi +17 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Databases (cs.DB) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research
  15. Human mobility networks reveal increased segregation in large cities
    2022/10/13 by Hamed Nilforoshan, Nilforoshan, Hamed, Wenli Looi +17 · 1 citation
    Social Sciences · #Urban Transport and Accessibility #Human Mobility and Location-Based Analysis #Urban, Neighborhood, and Segregation Studies
  16. Reconciling the accuracy-diversity trade-off in recommendations
    2023/07/27 by Peng, Kenny, Raghavan, Manish, Pierson, Emma +2 · 1 citation
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI)
  17. Quantifying disparities in intimate partner violence: a machine learning method to correct for underreporting
    2021/10/08 by Divya Shanmugam, Shanmugam, Divya, Hou, Kaihua +1 · 1 citation
    Computer Science · Medicine · #Computers and Society (cs.CY) #Data Analysis with R #FOS: Computer and information sciences #Machine Learning (cs.LG) #Viral Infections and Vectors
  18. Domain constraints improve risk prediction when outcome data is missing
    2023/12/06 by Balachandar, Sidhika, Garg, Nikhil, Pierson, Emma · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Using large language models to promote health equity
    2023/12/22 by Pierson, Emma, Shanmugam, Divya, Movva, Rajiv +12 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences
  20. Learning Disease Progression Models That Capture Health Disparities
    2024/12/20 by Erica Chiang, Divya Shanmugam, Chiang, Erica +12 · 1 voice · 2 citations
    Medicine · Computer Science · #Chronic Disease Management Strategies #Machine Learning in Healthcare
  21. Evaluating multiple models using labeled and unlabeled data
    2025/01/21 by Divya Shanmugam, Shuvom Sadhuka, Shanmugam, Divya +9 · 2 voices · 1 citation
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  22. Generative AI in Medicine
    2024/12/13 by Divya Shanmugam, Monica Agrawal, Shanmugam, Divya +11 · 3 voices
    #cs.LG #cs.AI #cs.CY #cs.HC