3 papers
stat.ML2026
Stable and Steerable Sparse Autoencoders with Weight Regularization
Piotr Jedryszek, Oliver M. Crook
Sparse autoencoders (SAEs) are widely used to extract human-interpretable features from neural network activations, but their learned features can vary substantially across random…
cs.CV2020
A Linear Transportation Distance for Pattern Recognition
Oliver M. Crook, Mihai Cucuringu, Tim Hurst +3
The transportation distance, denoted , has been proposed as a generalisation of Wasserstein distances motivated by the property that it…
math.NA2019
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb +2
Given a data set and a subset of labels the problem of semi-supervised learning on point clouds is to extend the labels to the entire data set. In this paper we extend the labels b…