research
∙
09/05/2023
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network
Functional analysis of the left atrium (LA) plays an increasingly import...
share
research
∙
08/17/2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
Hindsight experience replay (HER) is a goal relabelling technique typica...
research
∙
11/26/2020
Episodic Self-Imitation Learning with Hindsight
Episodic self-imitation learning, a novel self-imitation algorithm with ...
research
∙
12/18/2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Deep reinforcement learning has the potential to train robots to perform...
research
∙
11/21/2019
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control
Deep networks have enabled reinforcement learning to scale to more compl...
research
∙
11/21/2019
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means
Recently, neuro-inspired episodic control (EC) methods have been develop...
research
∙
11/28/2017
A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry
Demographic studies suggest that changes in the retinal vasculature geom...
research
∙
08/19/2017
A Brief Survey of Deep Reinforcement Learning
Deep reinforcement learning is poised to revolutionise the field of AI a...
research
∙
03/03/2017
Denoising Adversarial Autoencoders
Unsupervised learning is of growing interest because it unlocks the pote...
research
∙
11/17/2016
Inverting The Generator Of A Generative Adversarial Network
Generative adversarial networks (GANs) learn to synthesise new samples f...
research
∙
10/28/2016
Improving Sampling from Generative Autoencoders with Markov Chains
We focus on generative autoencoders, such as variational or adversarial ...
research
∙
07/10/2016
Adversarial Training For Sketch Retrieval
Generative Adversarial Networks (GAN) are able to learn excellent repres...
research
∙
04/27/2016
