Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

    Gutmann, M. & Hyvärinen, A., 2010, Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS). Teh, Y. W. & Titterington, M. (eds.). Journal of Machine Learning Research - Proceedings Track, Vol. 9. p. 297-304 8 p. (JMLR WCP).

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

  3. Non-Gaussian probability distribution of the total transmission of multiply scattered light

    Boer, J. F. D., Van Rossum, M. C. W., Albada, M. P. V., Nieuwenhuizen, T. M. & Lagendijk, A., 1994, International Quantum Electronics Conference 1994. Optical Society of America (OSA), 1 p. QThE5

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

  4. Novel cell based on reduced single-phase active front end for multicell converters

    Lezana, P., Rodriguez, J., Rojas, D. & Pontt, J., 1 Nov 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005.. p. 733-738 6 p.

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

  5. Of Gods and Goats: Weakly Supervised Learning of Figurative Art

    Crowley, E. & Zisserman, A., 2013, In Proceedings British Machine Vision Conference 2013. BMVA Press, p. 1-11 12 p. 39

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

  6. On Contrastive Learning for Likelihood-free Inference

    Durkan, C., Murray, I. & Papamakarios, G., 18 Jul 2020, Proceedings of the 37th International Conference on Machine Learning. PMLR, p. 2771-2781 15 p. (Proceedings of Machine Learning Research; vol. 119).

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

  7. On Robust Malware Classifiers by Verifying Unwanted Behaviours

    Chen, W., Aspinall, D., Gordon, A., Sutton, C. & Muttik, I., Jun 2016, Integrated Formal Methods: 12th International Conference, IFM 2016, Reykjavik, Iceland, June 1-5, 2016, Proceedings. Springer International Publishing, p. 326-341 15 p. (Lecture Notes in Computer Science; vol. 9681).

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

  8. 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

  9. 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

  10. 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

  11. 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