SnFFT: a Julia toolkit for Fourier analysis of functions over permutations. - Gregory Plumb; Deepti Pachauri; Risi Kondor; Vikas Singh (J. Mach. Learn. Res., 2015)

Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. - Gregory Plumb; Lindsay Clark; Sterling C. Johnson; Vikas Singh (MICCAI (3), 2017)

Model Agnostic Supervised Local Explanations. - Gregory Plumb; Denali Molitor; Ameet Talwalkar (NeurIPS, 2018)

Supervised Local Modeling for Interpretability. - Gregory Plumb; Denali Molitor; Ameet Talwalkar (CoRR, 2018)

Regularizing Black-box Models for Improved Interpretability. - Gregory Plumb; Maruan Al-Shedivat; Eric P. Xing; Ameet Talwalkar (CoRR, 2019)

Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). - Gregory Plumb; Maruan Al-Shedivat; Eric P. Xing; Ameet Talwalkar (CoRR, 2019)

Explaining Groups of Points in Low-Dimensional Representations. - Gregory Plumb; Jonathan Terhorst; Sriram Sankararaman; Ameet Talwalkar (ICML, 2020)

Regularizing Black-box Models for Improved Interpretability. - Gregory Plumb; Maruan Al-Shedivat; Ángel Alexander Cabrera; Adam Perer; Eric P. Xing; Ameet Talwalkar (NeurIPS, 2020)

A Learning Theoretic Perspective on Local Explainability. - Jeffrey Li; Vaishnavh Nagarajan; Gregory Plumb; Ameet Talwalkar (ICLR, 2021)

Towards Connecting Use Cases and Methods in Interpretable Machine Learning. - Valerie Chen; Jeffrey Li; Joon Sik Kim; Gregory Plumb; Ameet Talwalkar (CoRR, 2021)

Interpretable Machine Learning: Moving from mythos to diagnostics. - Valerie Chen; Jeffrey Li; Joon Sik Kim; Gregory Plumb; Ameet Talwalkar (ACM Queue, 2021)

Sanity Simulations for Saliency Methods. - Joon Sik Kim; Gregory Plumb; Ameet Talwalkar (ICML, 2022)

Use-Case-Grounded Simulations for Explanation Evaluation. - Valerie Chen; Nari Johnson; Nicholay Topin; Gregory Plumb; Ameet Talwalkar (NeurIPS, 2022)

Evaluating Systemic Error Detection Methods using Synthetic Images. - Gregory Plumb; Nari Johnson; Ángel Alexander Cabrera; Marco Túlio Ribeiro; Ameet Talwalkar (CoRR, 2022)

Finding and Fixing Spurious Patterns with Explanations. - Gregory Plumb; Marco Túlio Ribeiro; Ameet Talwalkar (Trans. Mach. Learn. Res., 2022)

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms. - Nari Johnson; Ángel Alexander Cabrera; Gregory Plumb; Ameet Talwalkar (CoRR, 2023)

Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models. - Gregory Plumb; Nari Johnson; Ángel Alexander Cabrera; Ameet Talwalkar (Trans. Mach. Learn. Res., 2023)