17 citations · 17 across the 3 of their papers we have counts for
3 papers
Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI
Yinsong Wang, Thomas Fletcher, Xinzhe Luo +3
Reconstructing 3D fetal MR volumes from motion-corrupted stacks of 2D slices is a crucial and challenging task. Conventional slice-to-volume reconstruction (SVR) methods are time-c…
Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
Kim N. Nolle, Ivana Dusparic, Rhodri Cusack +1
Continual learning (CL) is a branch of machine learning that aims to enable agents to adapt and generalise previously learned abilities so that these can be reapplied to new tasks…
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
After a surge in popularity of supervised Deep Learning, the desire to reduce the dependence on curated, labelled data sets and to leverage the vast quantities of unlabelled data a…