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Brian Barr

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Center for Machine Learning, Capital One

The Disagreement Problem in Faithfulness Metrics

Nov 13, 2023
Brian Barr, Noah Fatsi, Leif Hancox-Li, Peter Richter, Daniel Proano, Caleb Mok

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Calibrate: Interactive Analysis of Probabilistic Model Output

Jul 27, 2022
Peter Xenopoulos, Joao Rulff, Luis Gustavo Nonato, Brian Barr, Claudio Silva

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BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence

Jul 12, 2022
Isha Hameed, Samuel Sharpe, Daniel Barcklow, Justin Au-Yeung, Sahil Verma, Jocelyn Huang, Brian Barr, C. Bayan Bruss

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Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets

Jan 19, 2022
Jun Yuan, Brian Barr, Kyle Overton, Enrico Bertini

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Topological Representations of Local Explanations

Jan 06, 2022
Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Claudio Silva

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Counterfactual Explanations via Latent Space Projection and Interpolation

Dec 02, 2021
Brian Barr, Matthew R. Harrington, Samuel Sharpe, C. Bayan Bruss

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Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations

Dec 16, 2020
Rachana Balasubramanian, Samuel Sharpe, Brian Barr, Jason Wittenbach, C. Bayan Bruss

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Towards Ground Truth Explainability on Tabular Data

Jul 20, 2020
Brian Barr, Ke Xu, Claudio Silva, Enrico Bertini, Robert Reilly, C. Bayan Bruss, Jason D. Wittenbach

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