Jon Donnelly - RankMe

26 papers A* 8Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect. CoRR Jon Donnelly, Srikar Katta, Emanuele Borgonovo, Cynthia Rudin
2025	A*	`conf`	How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data. AAAI Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin
2025	J	`jnl`	How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data. CoRR Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin
2025	J	`jnl`	It's LIT! Reliability-Optimized LLMs with Inspectable Tools. CoRR Ruixin Zhang, Jon Donnelly, Zhicheng Guo, Ghazal Khalighinejad, Haiyang Huang, Alina Jade Barnett, Cynthia Rudin
2025	A*	`conf`	Leveraging Predictive Equivalence in Decision Trees. ICML Hayden McTavish, Zachery Boner, Jon Donnelly, Margo I. Seltzer, Cynthia Rudin
2025	J	`jnl`	Leveraging Predictive Equivalence in Decision Trees. CoRR Hayden McTavish, Zachery Boner, Jon Donnelly, Margo I. Seltzer, Cynthia Rudin
2025	A*	`conf`	Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. CVPR Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
2025	J	`jnl`	Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. CoRR Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
2025	—	`conf`	This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN. MICCAI (14) Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2025	J	`jnl`	This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN. CoRR Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2025	J	`jnl`	What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities. CoRR Muchang Bahng, Charlie Berens, Jon Donnelly, Eric Chen, Chaofan Chen, Cynthia Rudin
2024	J	`jnl`	Amazing Things Come From Having Many Good Models. CoRR Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2024	—	`conf`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CVPR Workshops Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	J	`jnl`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	A*	`conf`	Interpretable Generalized Additive Models for Datasets with Missing Values. NeurIPS Hayden McTavish, Jon Donnelly, Margo I. Seltzer, Cynthia Rudin
2024	J	`jnl`	Interpretable Generalized Additive Models for Datasets with Missing Values. CoRR Hayden McTavish, Jon Donnelly, Margo I. Seltzer, Cynthia Rudin
2024	A*	`conf`	Interpretable Image Classification with Adaptive Prototype-based Vision Transformers. NeurIPS Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
2024	J	`jnl`	Interpretable Image Classification with Adaptive Prototype-based Vision Transformers. CoRR Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
2024	A*	`conf`	Position: Amazing Things Come From Having Many Good Models. ICML Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2024	J	`jnl`	This Looks Better than That: Better Interpretable Models with ProtoPNeXt. CoRR Frank Willard, Luke Moffett, Emmanuel Mokel, Jon Donnelly, Stark Guo, Julia Yang, Giyoung Kim, Alina Jade Barnett, Cynthia Rudin
2023	J	`jnl`	Analyzing the Influence of Agents in Trust Networks: Applying Nonsmooth Eigensensitivity Theory to a Graph Centrality Problem. SIAM J. Matrix Anal. Appl. Jon Donnelly, Peter Stechlinski
2023	J	`jnl`	ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges. CoRR Dennis Tang, Frank Willard, Ronan Tegerdine, Luke Triplett, Jon Donnelly, Luke Moffett, Lesia Semenova, Alina Jade Barnett, Jin Jing, Cynthia Rudin, M. Brandon Westover
2023	A*	`conf`	The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance. NeurIPS Jon Donnelly, Srikar Katta, Cynthia Rudin, Edward P. Browne
2023	J	`jnl`	The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance. CoRR Jon Donnelly, Srikar Katta, Cynthia Rudin, Edward P. Browne
2022	A*	`conf`	Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CVPR Jon Donnelly, Alina Jade Barnett, Chaofan Chen
2021	J	`jnl`	Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CoRR Jon Donnelly, Alina Jade Barnett, Chaofan Chen