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Conferences
Jon Donnelly
9 papers at tracked venues · 7 at CORE A* · active 2024–2026
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Venues
CVPR
×2
ICML
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NeurIPS
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AAAI
×1
MICCAI
×1
WACV
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Frequent coauthors
Hayden McTavish
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Luke Moffett
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Ishaan Maitra
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Dennis Tang
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Julia Yang
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Chiyu Ma
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Cynthia Rudin
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Papers
Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
WACV 2026
·
Luke Moffett
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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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Leveraging Predictive Equivalence in Decision Trees
ICML 2025
·
Hayden McTavish
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Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
CVPR 2025
·
Jon Donnelly
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
MICCAI 2025
·
Dennis Tang
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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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Interpretable Generalized Additive Models for Datasets with Missing Values
NeurIPS 2024
·
Hayden McTavish
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Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
NeurIPS 2024
·
Chiyu Ma
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Position: Amazing Things Come From Having Many Good Models
ICML 2024
·
Cynthia Rudin
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