Edward Small

According to our database, Edward Small authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

TraCE: Trajectory Counterfactual Explanation Scores.

Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways.

Michelle W. L. Wan, Jeffrey N. Clark, Edward A. Small, Elena Fillola Mayoral, Raúl Santos-Rodríguez

CoRR, 2023

Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?

Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson

CoRR, 2023

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse.

Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez

CoRR, 2023

Navigating Explanatory Multiverse Through Counterfactual Path Geometry.

Kacper Sokol, Edward Small, Yueqing Xuan

CoRR, 2023

Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness.

Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan

CoRR, 2023

An Analysis of Physics-Informed Neural Networks.

Edward Small

CoRR, 2023

Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations.

Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol

CoRR, 2023

2022

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies.

Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim

CoRR, 2022