Publications

Papers

Pulling back information geometry

Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin, Dimitris Kalatzis, Søren Hauberg

arXiv preprint, 2021

arXiv:2106.05367

Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data [PDF]

Antonia Creswell, Alison Pouplin and Anil Bharath

IET Computer Vision, 2018

arXiv:1811.12932

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

arXiv:1811.12932

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