Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2020
  2. Sequential Bayesian Experimental Design for Implicit Models via Mutual Information

    Kleinegesse, S., Drovandi, C. & Gutmann, M. U., 31 Jul 2020, In : Bayesian analysis. p. 1-30 30 p.

    Research output: Contribution to journalArticle

  3. Towards learning analytics adoption: A mixed methods study of data-related practices and policies in Latin American universities

    Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y-S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A., Gašević, D. & Pérez-Sanagustín, M., 31 Jul 2020, In : British Journal of Educational Technology. 51, 4, p. 915–937 23 p.

    Research output: Contribution to journalArticle

  4. A stochastic model of gene expression with polymerase recruitment and pause release

    Cao, E., Filatova, T., Oyarzún, D. A. & Grima, R., 23 Jul 2020, (Accepted/In press) In : Biophysical Journal. 15 p.

    Research output: Contribution to journalArticle

  5. Diverse Ensembles Improve Calibration

    Cooper Stickland, A. & Murray, I., 1 Jul 2020, (Accepted/In press) ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning. 6 p.

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

  6. Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions

    Lopez Guevara, T., Pucci, R., Taylor, N., Gutmann, M. U., Ramamoorthy, R. & Subr, K., 1 Jul 2020, (Accepted/In press) Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). 7 p.

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

  7. Temporal dissociation of phencyclidine: Induced locomotor and social alterations in rats using an automated homecage monitoring system – implications for the 3Rs and preclinical drug discovery

    Mitchell, E. J., Brett, R. R., Armstrong, J. D., Sillito, R. R. & Pratt, J. A., 1 Jul 2020, In : Journal of Psychopharmacology. 34, 7, p. 709-715 7 p.

    Research output: Contribution to journalArticle

  8. Density Deconvolution with Normalizing Flows

    Dockhorn, T., Ritchie, J. A., Yu, Y. & Murray, I., 29 Jun 2020, (Accepted/In press) Second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020). 8 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. Self-restoration of cardiac excitation rhythm by anti-arrhythmic ion channel gating

    Majumder, R., De Coster, T., Kudryashova, N., Verkerk, A. O., Kazbanov, I. V., Ördög, B., Harlaar, N., Wilders, R., de Vries, A. AF., Ypey, D. L., Panfilov, A. V. & Pijnappels, D. A., 25 Jun 2020, In : eLIFE. 9, 23 p., e55921.

    Research output: Contribution to journalArticle

  11. A modern materialist approach to abstraction, concreteness and explanation in cognition

    Shillcock, R., 19 Jun 2020, In : Behavioral and Brain Sciences. 43, e148.

    Research output: Contribution to journalArticle

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