Cynthia Rudin

papers

885

total citations

papers (12)

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

CVPR 2020arXiv

616

citations

Exploring the Whole Rashomon Set of Sparse Decision Trees

NEURIPS 2022arXiv

citations

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

NEURIPS 2023arXiv

citations

FasterRisk: Fast and Accurate Interpretable Risk Scores

NEURIPS 2022arXiv

citations

The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance

NEURIPS 2023arXiv

citations

A Path to Simpler Models Starts With Noise

NEURIPS 2023arXiv

citations

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models

NEURIPS 2023arXiv

citations

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time

CVPR 2025arXiv

citations

Cynthia Rudin

papers (12)

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Exploring the Whole Rashomon Set of Sparse Decision Trees

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

FasterRisk: Fast and Accurate Interpretable Risk Scores

The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance

A Path to Simpler Models Starts With Noise

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time

Dimension Reduction with Locally Adjusted Graphs

OKRidge: Scalable Optimal k-Sparse Ridge Regression

Data Fusion for Partial Identification of Causal Effects

Position: Amazing Things Come From Having Many Good Models

papers (12)

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Exploring the Whole Rashomon Set of Sparse Decision Trees

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

FasterRisk: Fast and Accurate Interpretable Risk Scores

The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance

A Path to Simpler Models Starts With Noise

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time

Dimension Reduction with Locally Adjusted Graphs

OKRidge: Scalable Optimal k-Sparse Ridge Regression

Data Fusion for Partial Identification of Causal Effects

Position: Amazing Things Come From Having Many Good Models