PPaperPicks

Cynthia Rudin

Duke University, USA

25 papers at tracked venues · 18 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4283-2780 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×7AAAI ×5AISTATS ×5ICML ×3CVPR ×2MICCAI ×1SIGKDD ×1WACV ×1

Frequent coauthors

Jon Donnelly
×9
Margo I. Seltzer
×5
Alina Jade Barnett
×4
Alexander Volfovsky
×4
Hayden McTavish
×4
Harsh Parikh
×3
Yiyang Sun
×3
Zachery Boner
×3
Chaofan Chen
×3
Lesia Semenova
×3
Stephen Hahn
×2
Rico Zhu
×2

Papers

  1. AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation
    AAAI 2026 ·
    Stephen Ni-Hahn
    ,
    Rico Zhu
    ,
    Jerry Yin
    ,
    Yue Jiang
    , Cynthia Rudin,
    Simon Mak
  2. Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
    WACV 2026 ·
    Luke Moffett
    ,
    Frank Willard
    ,
    Maximillian Machado
    ,
    Emmanuel Mokel
    ,
    Jon Donnelly
    ,
    Zhicheng Guo
    ,
    Adam Costarino
    ,
    Julia Yang
    ,
    Giyoung Kim
    ,
    Alina Jade Barnett
    , Cynthia Rudin
  3. Resolving Predictive Multiplicity for the Rashomon Set
    AAAI 2026 ·
    Parian Haghighat
    ,
    Hadis Anahideh
    , Cynthia Rudin
  4. Data Fusion for Partial Identification of Causal Effects
    NeurIPS 2025 ·
    Quinn Lanners
    , Cynthia Rudin,
    Alexander Volfovsky
    ,
    Harsh Parikh
  5. Dimension Reduction with Locally Adjusted Graphs
    AAAI 2025 ·
    Yingfan Wang
    ,
    Yiyang Sun
    ,
    Haiyang Huang
    , Cynthia Rudin
  6. How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
    AAAI 2025 ·
    Ishaan Maitra
    ,
    Raymond Lin
    ,
    Eric Chen
    ,
    Jon Donnelly
    ,
    Sanja Scepanovic
    , Cynthia Rudin
  7. Leveraging Predictive Equivalence in Decision Trees
    ICML 2025 ·
    Hayden McTavish
    ,
    Zachery Boner
    ,
    Jon Donnelly
    ,
    Margo I. Seltzer
    , Cynthia Rudin
  8. Models That Are Interpretable But Not Transparent
    AISTATS 2025 ·
    Chudi Zhong
    ,
    Panyu Chen
    , Cynthia Rudin
  9. Near-Optimal Decision Trees in a SPLIT Second
    ICML 2025 ·
    Varun Babbar
    ,
    Hayden McTavish
    , Cynthia Rudin,
    Margo I. Seltzer
  10. Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
    CVPR 2025 ·
    Jon Donnelly
    ,
    Zhicheng Guo
    ,
    Alina Jade Barnett
    ,
    Hayden McTavish
    ,
    Chaofan Chen
    , Cynthia Rudin
  11. This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
    MICCAI 2025 ·
    Dennis Tang
    ,
    Jon Donnelly
    ,
    Alina Jade Barnett
    ,
    Lesia Semenova
    ,
    Jin Jing
    ,
    Peter Hadar
    ,
    Ioannis Karakis
    ,
    Olga Selioutski
    ,
    Kehan Zhao
    ,
    M. Brandon Westover
    , Cynthia Rudin
  12. Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
    AAAI 2024 ·
    Travis Seale-Carlisle
    ,
    Saksham Jain
    ,
    Courtney Lee
    ,
    Caroline Levenson
    ,
    Swathi Ramprasad
    ,
    Brandon Garrett
    ,
    Sudeepa Roy
    , Cynthia Rudin,
    Alexander Volfovsky
  13. FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
    CVPR 2024 ·
    Julia Yang
    ,
    Alina Jade Barnett
    ,
    Jon Donnelly
    ,
    Satvik Kishore
    ,
    Jerry Fang
    ,
    Fides Regina Schwartz
    ,
    Chaofan Chen
    ,
    Joseph Y. Lo
    , Cynthia Rudin
  14. FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
    NeurIPS 2024 ·
    Jiachang Liu
    ,
    Rui Zhang
    , Cynthia Rudin
  15. Improving Decision Sparsity
    NeurIPS 2024 ·
    Yiyang Sun
    ,
    Tong Wang
    , Cynthia Rudin
  16. Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
    AISTATS 2024 ·
    Srikar Katta
    ,
    Harsh Parikh
    , Cynthia Rudin,
    Alexander Volfovsky
  17. Interpretable Generalized Additive Models for Datasets with Missing Values
    NeurIPS 2024 ·
    Hayden McTavish
    ,
    Jon Donnelly
    ,
    Margo I. Seltzer
    , Cynthia Rudin
  18. Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
    NeurIPS 2024 ·
    Chiyu Ma
    ,
    Jon Donnelly
    ,
    Wenjun Liu
    ,
    Soroush Vosoughi
    , Cynthia Rudin,
    Chaofan Chen
  19. Navigating the Effect of Parametrization for Dimensionality Reduction
    NeurIPS 2024 ·
    Haiyang Huang
    ,
    Yingfan Wang
    , Cynthia Rudin
  20. Optimal Sparse Survival Trees
    AISTATS 2024 ·
    Rui Zhang
    ,
    Rui Xin
    ,
    Margo I. Seltzer
    , Cynthia Rudin
  21. Position: Amazing Things Come From Having Many Good Models
    ICML 2024 · Cynthia Rudin,
    Chudi Zhong
    ,
    Lesia Semenova
    ,
    Margo I. Seltzer
    ,
    Ronald Parr
    ,
    Jiachang Liu
    ,
    Srikar Katta
    ,
    Jon Donnelly
    ,
    Harry Chen
    ,
    Zachery Boner
  22. Safe and Interpretable Estimation of Optimal Treatment Regimes
    AISTATS 2024 ·
    Harsh Parikh
    ,
    Quinn Lanners
    ,
    Zade Akras
    ,
    Sahar F. Zafar
    ,
    M. Brandon Westover
    , Cynthia Rudin,
    Alexander Volfovsky
  23. SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization
    SIGKDD 2024 ·
    Stephen Hahn
    ,
    Jerry Yin
    ,
    Rico Zhu
    ,
    Weihan Xu
    ,
    Yue Jiang
    ,
    Simon Mak
    , Cynthia Rudin
  24. Sparse and Faithful Explanations Without Sparse Models
    AISTATS 2024 ·
    Yiyang Sun
    ,
    Zhi Chen
    ,
    Vittorio Orlandi
    ,
    Tong Wang
    , Cynthia Rudin
  25. Using Noise to Infer Aspects of Simplicity Without Learning
    NeurIPS 2024 ·
    Zachery Boner
    ,
    Harry Chen
    ,
    Lesia Semenova
    ,
    Ronald Parr
    , Cynthia Rudin