Edinburgh Research Explorer

Prof Christopher Williams

Personal Chair, Chair of Machine Learning

  1. 2019
  2. Model Criticism in Latent Space

    Seth, S., Murray, I. & Williams, C. K. I., 11 Jun 2019, In : Bayesian analysis. 14, 3, p. 703-725 23 p.

    Research output: Contribution to journalArticle

  3. Inverting Supervised Representations with Autoregressive Neural Density Models

    Nash, C., Kushman, N. & Williams, C. K. I., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Multi-Task Time Series Analysis applied to Drug Response Modelling

    Bird, A., Williams, C. K. I. & Hawthorne, C., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Endoscopic sensing of distal lung physiology

    Choudhury, D., Tanner, M. G., McAughtrie, S., Yu, F., Mills, B., Choudhary, T. R., Seth, S., Craven, T. H., Stone, J. M., Mati, I. K., Campbell, C. J., Bradley, M., Williams, C. K. I., Dhaliwal, K., Birks, T. A. & Thomson, R. R., 18 Mar 2019, In : Journal of Physics: Conference Series. 1151, 9 p., 012009.

    Research output: Contribution to journalArticle

  6. 2018
  7. A Framework for the Quantitative Evaluation of Disentangled Representations

    Eastwood, C. & Williams, C. K. I., 3 May 2018, Sixth International Conference on Learning Representations (ICLR 2018). 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image

    Romaszko, L., Williams, C. K. I., Moreno, P. & Kohli, P., 23 Jan 2018, ICCV 2017 Workshop on Geometry Meets Deep Learning. Institute of Electrical and Electronics Engineers (IEEE), p. 940-948 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Estimating Bacterial and Cellular Load in FCFM Imaging

    Seth, S., Akram, A., Dhaliwal, K. & Williams, C. K. I., 5 Jan 2018, In : Journal of Imaging . 4, 1, 17 p.

    Research output: Contribution to journalArticle

  10. 2017
  11. The shape variational autoencoder: A deep generative model of part-segmented 3D objects

    Nash, C. & Williams, C. K. I., Aug 2017, Symposium on Geometry Processing (SGP 2017). 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Estimating Bacterial Load in FCFM Imaging

    Seth, S., Akram, A., Dhaliwal, K. & Williams, C. K. I., 22 Jun 2017, Medical Image Understanding and Analysis. MIUA 2017.. Springer, Cham, p. 909-921 12 p. (Communications in Computer and Information Science; vol. 723).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. 2016
  14. Endoscopic sensing of alveolar pH

    Choudhury, D., Tanner, M. G., Mcaughtrie, S., Yu, F., Mills, B., Choudhary, T. R., Seth, S., Craven, T., Stone, J. M., Mati, I. K., Campbell, C. J., Bradley, M., Williams, C. K. I., Dhaliwal, K., Birks, T. A. & Thomson, R. R., 13 Dec 2016, In : Biomedical Optics Express. 8, 1, p. 243

    Research output: Contribution to journalArticle

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