Amy Widdicombe

According to our database, Amy Widdicombe authored at least 4 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Effect of Model Size on LLM Post-hoc Explainability via LIME.

Henning Heyen, Amy Widdicombe, Noah Y. Siegel, María Pérez-Ortiz, Philip C. Treleaven

CoRR, 2024

2021

Gradient-Based Interpretability Methods and Binarized Neural Networks.

Amy Widdicombe, Simon J. Julier

CoRR, 2021

2019

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning.

Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava

Proceedings of the IEEE International Conference on Smart Computing, 2019

2018

Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning.

Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava

Proceedings of the 21st International Conference on Information Fusion, 2018