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Alexander Hepburn
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2020 – today
- 2024
- [i15]Alexander Hepburn, Raúl Santos-Rodriguez, Javier Portilla:
Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. CoRR abs/2403.10390 (2024) - [i14]Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez:
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. CoRR abs/2403.19339 (2024) - 2023
- [c8]Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez:
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. CIKM 2023: 3833-3837 - [i13]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 abs/2301.08019 (2023) - [i12]Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo:
Disentangling the Link Between Image Statistics and Human Perception. CoRR abs/2303.09874 (2023) - [i11]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 abs/2305.11582 (2023) - [i10]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 abs/2312.03455 (2023) - 2022
- [c7]Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez:
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. BMVC 2022: 1083 - [c6]Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo:
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP 2022: 4018-4022 - [c5]Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo:
On the relation between statistical learning and perceptual distances. ICLR 2022 - [i9]Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo:
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR abs/2206.03860 (2022) - [i8]Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez:
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. CoRR abs/2208.03961 (2022) - [i7]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 abs/2209.03805 (2022) - [i6]Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach:
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. CoRR abs/2209.03813 (2022) - 2021
- [c4]Alexander Hepburn, Raúl Santos-Rodríguez:
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. ICIP 2021: 3717-3721 - [i5]Alexander Hepburn, Raúl Santos-Rodríguez:
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception. CoRR abs/2102.10951 (2021) - [i4]Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo:
On the relation between statistical learning and perceptual distances. CoRR abs/2106.04427 (2021) - 2020
- [j1]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): 1904 (2020) - [c3]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: 121-125 - [c2]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: 1-6
2010 – 2019
- 2019
- [i3]Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez:
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR abs/1908.04347 (2019) - [i2]Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez:
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR abs/1910.12548 (2019) - [i1]Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach:
bLIMEy: Surrogate Prediction Explanations Beyond LIME. CoRR abs/1910.13016 (2019) - 2018
- [c1]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: 52-66
Coauthor Index
aka: Raúl Santos-Rodriguez
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