Alexander Hepburn

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Image Statistics

Perceptual Distortion

Laplacian Pyramid

Human Visual System

Top Venues

LIDTA@ECML/PKDD

Publications

Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García
Learning Confidence Bounds for Classification with Imbalanced Data. CoRR (2024)
Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. CoRR (2024)
Alexander Hepburn, Raúl Santos-Rodriguez, Javier Portilla
Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. CoRR (2024)
Enrico Werner, Jeffrey N. Clark, Ranjeet S. Bhamber, Michael Ambler, Christopher P. Bourdeaux, Alexander Hepburn, Christopher J. McWilliams, Raúl Santos-Rodríguez
Identification, explanation and clinical evaluation of hospital patient subtypes. CoRR (2023)
Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics. CoRR (2023)
Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data. CoRR (2023)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo
Disentangling the Link Between Image Statistics and Human Perception. CoRR (2023)
Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. CIKM (2023)
Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. BMVC (2022)
Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP (2022)
Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter Flach
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. CoRR (2022)
Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR (2022)
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. CoRR (2022)
Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. CoRR (2022)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo
On the relation between statistical learning and perceptual distances. ICLR (2022)
Alexander Hepburn, Raúl Santos-Rodríguez
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. ICIP (2021)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo
On the relation between statistical learning and perceptual distances. CoRR (2021)
Alexander Hepburn, Raúl Santos-Rodríguez
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception. CoRR (2021)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP (2020)
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. J. Open Source Softw. 5 (49) (2020)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL (2020)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR (2019)
Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach
bLIMEy: Surrogate Prediction Explanations Beyond LIME. CoRR (2019)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR (2019)
Alexander Hepburn, Ryan McConville, Raúl Santos-Rodríguez, Jesús Cid-Sueiro, Dario García-García
Proper Losses for Learning with Example-Dependent Costs. LIDTA@ECML/PKDD (2018)