Alexander Hepburn
Cited by
Cited by
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, 1904, 2020
PerceptNet: a human visual system inspired neural net for estimating perceptual distance
A Hepburn, V Laparra, J Malo, R McConville, R Santos
IEEE International Conference on Image Processing (ICIP) 2020, 121-125, 2020
On the relation between statistical learning and perceptual distances
A Hepburn, V Laparra, R Santos-Rodriguez, J Ballé, J Malo
10th International Conference on Learning Representations, ICLR 2022, 2022
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
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
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception
A Hepburn, R Santos-Rodriguez
IEEE International Conference on Image Processing (ICIP) 2021, 3717-3721, 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
Surrogate Prediction Explanations Beyond LIME
K Sokol, R Santos-rodriguez, A Hepburn, P Flach
no. HCML, 2019
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
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers
R Kleinlein, A Hepburn, R Santos-Rodríguez, F Fernández-Martínez
33rd British Machine Vision Conference 2022, 2022
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
V Laparra, A Hepburn, JE Johnson, J Malo
IEEE International Conference on Image Processing (ICIP) 2022, 4018-4022, 2022
What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics
T Namgyal, A Hepburn, R Santos-Rodriguez, V Laparra, J Malo
arXiv preprint arXiv:2305.11582, 2023
Disentangling the Link Between Image Statistics and Human Perception
A Hepburn, V Laparra, R Santos-Rodriguez, J Malo
arXiv preprint arXiv:2303.09874, 2023
Identification, explanation and clinical evaluation of hospital patient subtypes
E Werner, JN Clark, RS Bhamber, M Ambler, CP Bourdeaux, A Hepburn, ...
arXiv preprint arXiv:2301.08019, 2023
On the connection between the human visual system and machine learning: exploiting perceptual distances in neural networks
A Hepburn
University of Bristol, 2022
The system can't perform the operation now. Try again later.
Articles 1–16