Search Results for author: Alan H. Gee

Found 3 papers, 1 papers with code

FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations

no code implementations12 Oct 2022 Shubham Sharma, Alan H. Gee, Jette Henderson, Joydeep Ghosh

The ability to quickly examine combinations of the most promising gradient directions as well as to incorporate additional user-defined constraints allows us to generate multiple counterfactual explanations that are sparse, realistic, and robust to input manipulations.

counterfactual Explanation Generation

FaiR-N: Fair and Robust Neural Networks for Structured Data

no code implementations13 Oct 2020 Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh

Fairness in machine learning is crucial when individuals are subject to automated decisions made by models in high-stake domains.

Adversarial Robustness Attribute +1

Explaining Deep Classification of Time-Series Data with Learned Prototypes

1 code implementation18 Apr 2019 Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar

We improve upon existing models by optimizing for increased prototype diversity and robustness, visualize how these prototypes in the latent space are used by the model to distinguish classes, and show that prototypes are capable of learning features on two dimensional time-series data to produce explainable insights during classification tasks.

Classification Decision Making +3

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