Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Growth defects and loss-of-function in synthetic gene circuits

    Nikolados, E-M., Weisse, A., Ceroni, F. & Oyarzún, D., 1 Jun 2019, In : ACS Synthetic Biology. 8, 6, p. 1231−1240 10 p.

    Research output: Contribution to journalArticle

  3. Studies on long term behavioural changes in group-housed rat models of brain and spinal cord injury using an automated home cage recording system

    Yip, P. K., Chapman, G. E., Sillito, R. R., Ip, T. H. R., Akhigbe, G., Becker, S. C., Price, A. W., Michael-Titus, A. T., Armstrong, J. D. & Tremoleda, J. L., Jun 2019, In : Journal of Neuroscience Methods. 321, p. 49 - 63 15 p.

    Research output: Contribution to journalArticle

  4. Mode Normalization

    Deecke, L., Murray, I. & Bilen, H., 9 May 2019, Proceedings of the Seventh International Conference on Learning Representations. New Orleans, Louisiana, USA, 12 p.

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

  5. Centre Report 2019: Centre for Research in Digital Education

    Bayne, S., Ewins, A., Evans, P., Gallagher, M., Ghazali-Mohammed, Z., Manches, A., Odai, L., Knox, J., Menzies, J., O'shea, C., Plowman, L., Ross, J., Sowton, C., Robertson, J., Sheail, P., Tsai, Y-S., Wang, Y., Williamson, B., Farrell, K., Lawson, T. & 1 others, Priztker, R., 1 May 2019, The Centre for Research in Digital Education. 21 p.

    Research output: Book/ReportCommissioned report

  6. Adaptive Gaussian Copula ABC

    Chen, Y. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 1584-1592 14 p.

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

  7. Efficient Bayesian Experimental Design for Implicit Models

    Kleinegesse, S. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 476-485 10 p.

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

  8. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Papamakarios, G., C, D. & Murray, I., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019. Naha, Okinawa, Japan: PMLR, Vol. 89. p. 837-848 12 p.

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

  9. Variational Noise-Contrastive Estimation

    Rhodes, B. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 2741-2750 14 p.

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

  10. 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

  11. 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

Previous 1 2 3 4 5 6 7 8 ...131 Next