Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. On the Efficiency of Recurrent Neural Network Optimization Algorithms

    Krause, B., Lu, L., Murray, I. & Renals, S., Dec 2015, OPT2015 Optimization for Machine Learning at the Neural Information Processing Systems Conference, 2015. 5 p.

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

  3. On the number of modes of a Gaussian mixture

    Carreira-Perpiñán, M. Á. & Williams, C. K. I., 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. Springer Berlin Heidelberg, p. 625-640 16 p. (Lecture Notes in Computer Science; vol. 2695).

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

  4. On the persistence of Structural priming: mechanisms of decay and Influence of word-Forms

    Malhotra, G., Pickering, M. J., Branigan, H. P. & Bednar, J. A., 2008, Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society, p. 657-662 6 p.

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

  5. On the quantitative analysis of deep belief networks

    Salakhutdinov, R. & Murray, I., 2008, Proceedings of the 25th International Conference on Machine Learning (ICML '08). New York, NY, USA: ACM, p. 872-879 8 p.

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

  6. Optimal adaptation of metabolic networks in dynamic equilibrium

    Oyarzún, D. A. & Middleton, R. H., 1 Jun 2011, Proceedings of the 2011 American Control Conference. p. 2897-2902 6 p.

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

  7. Optimal metabolic regulation by temporal variation of enzyme activities: a control theoretic approach

    Oyarzun, DA., Ingalls, B. & Kalamatianos, D., 2007, Foundations of Systems Biology and Engineering (FOSBE 2007). p. 491-496 6 p.

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

  8. Optimal triangular approximation for linear stable multivariable systems

    Oyarzun, D. A. & Salgado, M. E., 1 Jul 2007, 2007 American Control Conference. p. 5158-5163 6 p.

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

  9. Ordering Dimensions with Nested Dropout Normalizing Flows

    Bekasovs, A. & Murray, I., 29 Jun 2020, (Accepted/In press) Second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020). 6 p.

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

  10. Overcoming Occlusion with Inverse Graphics

    Moreno, P., Williams, C. K. I., Nash, C. & Kohli, P., 16 Nov 2016, Computer Vision: ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III. Hua, G. & Jégou, H. (eds.). Cham: Springer International Publishing, p. 170-185 16 p. (Lecture Notes in Computer Science (LNCS); vol. 9915).

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

  11. Parallel space-time-frequency decomposition of EEG signals for brain computer interfacing

    Nazarpour, K., Sanei, S., Shoker, L. & Chambers, J. A., 8 Sep 2006, 2006 14th European Signal Processing Conference. Institute of Electrical and Electronics Engineers (IEEE), p. 1-4 4 p.

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