Publications
Papers
Pulling back information geometry
Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin, Dimitris Kalatzis, Søren Hauberg
arXiv preprint, 2021
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data [PDF]
Antonia Creswell, Alison Pouplin and Anil Bharath
IET Computer Vision, 2018
Approximating the solution to wave propagation using deep neural networks
Wilhelm Sorteberg, Stef Garasto, Alison Pouplin, Chris Cantwell and Anil Bharath
Workshop: Modeling the Physical World: Perception, Learning, and Control at NeurIPS, 2018
Posters
Empirical comparison of pretrained models for the classification of retinal OCT images [Poster]
Alison Pouplin and Anil Bharath
Workshop: Women in Machine Learning at NeurIPS, 2018
Loss functions in imbalanced classification [Poster]
Katarzina Janocha, Alison Pouplin, Claire Higgins, Nick Linton and Anil Bharath
Medical Imaging Summer School, 2018
Modelling the evolution of skin lesions over-time using a Bidirectional Generative Adversarial Network [Poster] [Code]
Alison Pouplin, Antonia Creswell, and Anil Bharath
BMVA special issue on Cancer, 2017