Gregory Plumb
Gregory Plumb
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Model agnostic supervised local explanations
G Plumb, D Molitor, A Talwalkar
arXiv preprint arXiv:1807.02910, 2018
Regularizing black-box models for improved interpretability
G Plumb, M Al-Shedivat, AA Cabrera, A Perer, E Xing, A Talwalkar
arXiv preprint arXiv:1902.06787, 2019
SnFFT: a Julia toolkit for Fourier analysis of functions over permutations
G Plumb, D Pachauri, R Kondor, V Singh
The Journal of Machine Learning Research 16 (1), 3469-3473, 2015
Explaining groups of points in low-dimensional representations
G Plumb, J Terhorst, S Sankararaman, A Talwalkar
International Conference on Machine Learning, 7762-7771, 2020
A Learning Theoretic Perspective on Local Explainability
J Li, V Nagarajan, G Plumb, A Talwalkar
arXiv preprint arXiv:2011.01205, 2020
Finding and Fixing Spurious Patterns with Explanations
G Plumb, MT Ribeiro, A Talwalkar
arXiv preprint arXiv:2106.02112, 2021
Sanity Simulations for Saliency Methods
JS Kim, G Plumb, A Talwalkar
arXiv preprint arXiv:2105.06506, 2021
Towards Connecting Use Cases and Methods in Interpretable Machine Learning
V Chen, J Li, JS Kim, G Plumb, A Talwalkar
arXiv preprint arXiv:2103.06254, 2021
Modeling Cognitive Trends in Preclinical Alzheimer’s Disease (AD) via Distributions over Permutations
G Plumb, L Clark, SC Johnson, V Singh
International Conference on Medical Image Computing and Computer-Assisted …, 2017
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