PPaperPicks

Jon Donnelly

9 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

CVPR ×2ICML ×2NeurIPS ×2AAAI ×1MICCAI ×1WACV ×1

Frequent coauthors

Cynthia Rudin
×9
Alina Jade Barnett
×4
Hayden McTavish
×3
Margo I. Seltzer
×3
Chaofan Chen
×3
Zhicheng Guo
×2
Julia Yang
×2
Zachery Boner
×2
Lesia Semenova
×2
Luke Moffett
×1
Frank Willard
×1
Maximillian Machado
×1

Papers

  1. 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
  2. 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
  3. Leveraging Predictive Equivalence in Decision Trees
    ICML 2025 ·
    Hayden McTavish
    ,
    Zachery Boner
    , Jon Donnelly,
    Margo I. Seltzer
    ,
    Cynthia Rudin
  4. 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
  5. 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
  6. 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
  7. Interpretable Generalized Additive Models for Datasets with Missing Values
    NeurIPS 2024 ·
    Hayden McTavish
    , Jon Donnelly,
    Margo I. Seltzer
    ,
    Cynthia Rudin
  8. Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
    NeurIPS 2024 ·
    Chiyu Ma
    , Jon Donnelly,
    Wenjun Liu
    ,
    Soroush Vosoughi
    ,
    Cynthia Rudin
    ,
    Chaofan Chen
  9. 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