Amy Widdicombe

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 5

Top Topics

Computationally Expensive

Matrix Inversion

Top Venues

Publications

Henning Heyen, Amy Widdicombe, Noah Y. Siegel, María Pérez-Ortiz, Philip Treleaven
The Effect of Model Size on LLM Post-hoc Explainability via LIME. CoRR (2024)
Amy Widdicombe, Simon J. Julier
Gradient-Based Interpretability Methods and Binarized Neural Networks. CoRR (2021)
Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. CoRR (2019)
Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. SMARTCOMP (2019)
Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. FUSION (2018)