Alexander Hepburn
Cited by
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bLIMEy: surrogate prediction explanations beyond LIME
K Sokol, A Hepburn, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:1910.13016, 2019
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
K Sokol, A Hepburn, R Poyiadzi, M Clifford, R Santos-Rodriguez, P Flach
Journal of Open Source Software 5 (49), 1904, 2020
PerceptNet: a human visual system inspired neural net for estimating perceptual distance
A Hepburn, V Laparra, J Malo, R McConville, R Santos
Proceedings of IEEE ICIP, 2020
Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance
A Hepburn, V Laparra, R McConville, R Santos-Rodriguez
Proceedings of the Northern Lights Deep Learning Workshop 1, 6--6, 2020
Surrogate Prediction Explanations Beyond LIME
K Sokol, R Santos-rodriguez, A Hepburn, P Flach
no. HCML, 2019
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception
A Hepburn, R Santos-Rodriguez
arXiv preprint arXiv:2102.10951, 2021
Proper losses for learning with example-dependent costs
A Hepburn, R McConville, R Santos-Rodríguezo, J Cid-Sueiro, ...
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
On the relation between statistical learning and perceptual distances
A Hepburn, V Laparra, R Santos-Rodriguez, J Ballé, J Malo
arXiv preprint arXiv:2106.04427, 2021
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components
K Sokol, A Hepburn, R Santos-Rodriguez, P Flach, 2020
Album cover generation from genre tags
A Hepburn, McConville, Ryan, R Santos-Rodriguez
Proceedings of 10th International Workshop on Machine Learning and Music, 25-31, 2017
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