Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling

    Shang, X., Zhu, Z., Leimkuhler, B. & Storkey, A., 2015, Neural Information Processing Systems (NIPS). 9 p.

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

  3. Cubic-Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 15 Jun 2019, First workshop on Invertible Neural Networks and Normalizing Flows: at ICML 2019. 7 p.

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

  4. DTs: Dynamic Trees

    Williams, C. KI. & Adams, N. J., 1999, Advances in Neural Information Processing Systems 11 (NIPS 1998). MIT Press, p. 634-640 7 p.

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

  5. Data Cleaning using Probabilistic Models of Integrity Constraints

    Eduardo, S. & Sutton, C., 10 Dec 2016, NIPS 2016 Workshop on Artificial Intelligence for Data Science (AI4DataSci 2016). 3 p.

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

  6. Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling

    Sutton, C., Hobson, T., Geddes, J. & Caruana, R., 19 Jul 2018, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. London, United Kingdom: ACM, p. 2279-2288 10 p.

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

  7. Data integration for Classification Problems Employing Gaussian Process Priors

    Girolami, M. & Zhong, M., 2007, Advances in Neural Information Processing Systems 19 (NIPS 2006). MIT Press, 8 p.

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

  8. Data-driven statistical learning of temporal logic properties

    Bartocci, E., Bortolussi, L. & Sanguinetti, G., 2014, Formal Modeling and Analysis of Timed Systems: 12th International Conference, FORMATS 2014, Florence, Italy, September 8-10, 2014. Proceedings. Springer International Publishing, p. 23-37 15 p. (Lecture Notes in Computer Science; vol. 8711).

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

  9. Deep Architectures for Articulatory Inversion

    Uria, B., Murray, I., Renals, S. & Richmond, K., Sep 2012, INTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association. ISCA, p. 867-870 4 p.

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

  10. Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts

    Louis, A. & Sutton, C., 6 Jun 2018, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. New Orleans, Louisiana : Association for Computational Linguistics, p. 708-713 6 p.

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

  11. Design constraints in an operon circuit for engineered control of metabolic networks

    Oyarzún, D. A. & Stan, G., 1 Dec 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC). p. 3608-3613 6 p.

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

  12. Design tradeoffs in a synthetic gene control circuit for metabolic networks

    Oyarzún, D. A. & Stan, G., 1 Jun 2012, 2012 American Control Conference (ACC). p. 2743-2748 6 p.

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

  13. Detecting and reconstructing vascular trees in retinal images

    Jasiobedzki, P., Williams, C. K. I. & Lu, F., 1994, Proc. SPIE 2167, Medical Imaging 1994: Image Processing. p. 815-825 11 p.

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

  14. Determining heat use in residential buildings using high resolution gas and domestic hot water monitoring

    Buswell, R. A., Marini, D., Webb, L. & Thomson, M., 2013, Proceedings of the 13th Conference of International Building Performance Simulation Association. Chambéry, France: International Building Performance Simulation Association, p. 2413-2420 8 p.

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

  15. Differences of split and non-split architectures emerged from modelling Chinese character pronunciation

    Hsiao, J. H. & Shillcock, R., 2005, Proceedings of the Twenty Seventh Annual Conference of the Cognitive Science Society. p. 989-994 6 p.

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

  16. Digging Into Self-Supervised Monocular Depth Estimation

    Godard, C., Mac Aodha, O., Firman, M. & Brostow, G. J., 27 Feb 2020, 2019 IEEE/CVF International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers (IEEE), p. 3827-3837 11 p.

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

  17. Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation

    Liu, S., Quinn, J. A., Gutmann, M. U. & Sugiyama, M., Sep 2013, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II. Springer Berlin Heidelberg, p. 596-611 16 p. (Lecture Notes in Computer Science; vol. 8189).

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

  18. Directional-unit boltzmann machines

    Zemel, R. S., Williams, C. K. I. & Mozer, M. C., 1993, Advances in Neural Information Processing Systems 5. Morgan Kaufmann Publishers Inc., p. 172-179 8 p.

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

  19. Disciplinary Differences in Blended Learning Design: A Network Analytic Study

    Whitelock-Wainwright, A., Tsai, Y-S., Lyons, K., Khalif, S., Bryant, M., Ryan, K. & Gasevic, D., 23 Mar 2020, LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. Association for Computing Machinery (ACM), p. 579-588 10 p.

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

  20. Discovering hidden features with Gaussian processes regression

    Vivarelli, F. & Williams, C. K. I., 1999, Advances in Neural Information Processing Systems 11 (NIPS 1998). MIT Press, p. 613-619 7 p.

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

  21. Discriminative Mixtures of Sparse Latent Fields for Risk Management

    Agakov, F. V., Orchard, P. & Storkey, A. J., 2012, Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12). Lawrence, N. D. & Girolami, M. A. (eds.). Vol. 22. p. 10-18 9 p.

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

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