Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Learning Natural Coding Conventions

    Allamanis, M., Barr, E. T., Bird, C. & Sutton, C., 11 Nov 2014, Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. New York, NY, USA: ACM, p. 281-293 13 p.

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

  3. Learning Natural Image Structure with a Horizontal Product Model

    Köster, U., Lindgren, J. T., Gutmann, M. & Hyvärinen, A., 2009, Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings. Adali, T., Jutten, C., Romano, J. M. T. & Barros, A. K. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 507-514 8 p. (Lecture Notes in Computer Science; vol. 5441).

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

  4. Learning Stereo from Single Images

    Watson, J., Mac Aodha, O., Turmukhambetov, D., Brostow, G. J. & Firman, M., 3 Nov 2020, Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I. Springer, Cham, p. 722-740 19 p. (Lecture Notes in Computer Science; vol. 12346).

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

  5. Learning Topographic Representations for Linearly Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A., 2011, Workshop on Deep Learning and Unsupervised Feature Learning, NIPS. 9 p.

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

  6. Learning a selectivity--invariance--selectivity feature extraction architecture for images

    Gutmann, M. U. & Hyvärinen, A., 2012, Pattern Recognition (ICPR), 2012 21st International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 918-921 4 p.

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

  7. Learning and Designing Stochastic Processes from Logical Constraints

    Bortolussi, L. & Sanguinetti, G., 2013, Quantitative Evaluation of Systems: 10th International Conference, QEST 2013, Buenos Aires, Argentina, August 27-30, 2013. Proceedings. Joshi, K., Siegle, M., Stoelinga, M. & D'Argenio, P. R. (eds.). Springer-Verlag GmbH, p. 89-105 17 p. (Lecture Notes in Computer Science; vol. 8054).

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

  8. Learning and Verifying Unwanted Behaviours

    Chen, W., Aspinall, D., Gordon, A., Sutton, C. & Muttik, I., 2016, 4th Workshop on Hot Issues in Security Principles and Trust (HotSpot 2016). p. 17-32 15 p.

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

  9. Learning effects of robot actions using temporal associations

    Cohen, P. R., Sutton, C. & Burns, B., 2002, Development and Learning, 2002. Proceedings. The 2nd International Conference on. p. 96-101 6 p.

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

  10. Learning encoding and decoding filters for data representation with a spiking neuron

    Gutmann, M., Hyvärinen, A. & Aihara, K., 2008, Proc. Int. Joint Conference on Neural Networks (IJCNN). p. 243-248 6 p.

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

  11. Learning features by contrasting natural images with noise

    Gutmann, M. & Hyvärinen, A., 2009, Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II. Alippi, C., Polycarpou, M., Panayiotou, C. & Ellinas, G. (eds.). Springer Berlin Heidelberg, p. 623-632 10 p. (Lecture Notes in Computer Science; vol. 5769).

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