12 citations · 12 across the 1 of their papers we have counts for
3 papers
cs.AI2018
ExIt-OOS: Towards Learning from Planning in Imperfect Information Games
Andy Kitchen, Michela Benedetti
The current state of the art in playing many important perfect information games, including Chess and Go, combines planning and deep reinforcement learning with self-play. We exten…
cs.CV2018
Generative Visual Rationales
Jarrel Seah, Jennifer Tang, Andy Kitchen +1
Interpretability and small labelled datasets are key issues in the practical application of deep learning, particularly in areas such as medicine. In this paper, we present a semi-…
cs.CV2017★ 12 cited
Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis
Andy Kitchen, Jarrel Seah
Generative Adversarial Neural Networks (GANs) are applied to the synthetic generation of prostate lesion MRI images. GANs have been applied to a variety of natural images, is shown…