Cynthia Rudin

Venues

Frequent coauthors

Papers

1. AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation
   AAAI 2026 ·

   Stephen Ni-Hahn

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2. Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
   WACV 2026 ·

   Luke Moffett

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3. Resolving Predictive Multiplicity for the Rashomon Set
   AAAI 2026 ·

   Parian Haghighat

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4. Data Fusion for Partial Identification of Causal Effects
   NeurIPS 2025 ·

   Quinn Lanners

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5. Dimension Reduction with Locally Adjusted Graphs
   AAAI 2025 ·

   Yingfan Wang

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6. How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
   AAAI 2025 ·

   Ishaan Maitra

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7. Leveraging Predictive Equivalence in Decision Trees
   ICML 2025 ·

   Hayden McTavish

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8. Models That Are Interpretable But Not Transparent
   AISTATS 2025 ·

   Chudi Zhong

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9. Near-Optimal Decision Trees in a SPLIT Second
   ICML 2025 ·

   Varun Babbar

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10. Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
    CVPR 2025 ·

    Jon Donnelly

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11. This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
    MICCAI 2025 ·

    Dennis Tang

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12. Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
    AAAI 2024 ·

    Travis Seale-Carlisle

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13. FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
    CVPR 2024 ·

    Julia Yang

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14. FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
    NeurIPS 2024 ·

    Jiachang Liu

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15. Improving Decision Sparsity
    NeurIPS 2024 ·

    Yiyang Sun

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16. Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
    AISTATS 2024 ·

    Srikar Katta

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17. Interpretable Generalized Additive Models for Datasets with Missing Values
    NeurIPS 2024 ·

    Hayden McTavish

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18. Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
    NeurIPS 2024 ·

    Chiyu Ma

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19. Navigating the Effect of Parametrization for Dimensionality Reduction
    NeurIPS 2024 ·

    Haiyang Huang

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20. Optimal Sparse Survival Trees
    AISTATS 2024 ·

    Rui Zhang

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21. Position: Amazing Things Come From Having Many Good Models
    ICML 2024 · Cynthia Rudin
22. Safe and Interpretable Estimation of Optimal Treatment Regimes
    AISTATS 2024 ·

    Harsh Parikh

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23. SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization
    SIGKDD 2024 ·

    Stephen Hahn

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24. Sparse and Faithful Explanations Without Sparse Models
    AISTATS 2024 ·

    Yiyang Sun

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25. Using Noise to Infer Aspects of Simplicity Without Learning
    NeurIPS 2024 ·

    Zachery Boner

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