Jon Donnelly
10 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (23) π Conference Polyglot (6)
π
Cross-Pollinator
(7)
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
NIPS (3)
CVPR (2)
ICML (2)
AAAI (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
interpretable machine learning
(3)
case-based reasoning
(2)
prototypical part network
(2)
deformable prototype
(2)
rashomon set
(2)
interpretable model
(2)
variable importance
(2)
representation learning
(2)
generalized additive model
(2)
interpretable classification
(1)
missing data imputation
(1)
interpretable classifier
(1)
prototype deformation
(1)
feature ranking
(1)
l0 regularization
(1)
cosine similarity
(1)
model stability
(1)
spatial analysis
(1)
spatial autocorrelation
(1)
health outcome
(1)
Papers
Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
WACV 2026
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
CVPR 2025
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
AAAI 2025
Leveraging Predictive Equivalence in Decision Trees
ICML 2025
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
MICCAI 2025
Position: Amazing Things Come From Having Many Good Models
ICML 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
NIPS 2024
Interpretable Generalized Additive Models for Datasets with Missing Values
NIPS 2024
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
NIPS 2023
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
CVPR 2022