Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth-death models

    Lintusaari, J., Blomstedt, P., Sivula, T., Gutmann, M., Kaski, S. & Corander, J., 30 Aug 2019, In : Wellcome Open Research . 4, 14, 10 p.

    Research output: Contribution to journalArticle

  3. GEMSEC: Graph Embedding with Self Clustering

    Rózemberczki, B., Davies, R., Sarkar, R. & Sutton, C., 27 Aug 2019, ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery (ACM), p. 65-72 8 p.

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

  4. Acquisition of visual priors and induced hallucinations in chronic schizophrenia

    Valton, V., Karvelis, P., Richards, K., Seitz, A. R., Lawrie, S. & Series, P., Aug 2019, In : Brain. 142, 8, p. 2523–2537 35 p., awz171.

    Research output: Contribution to journalArticle

  5. ColNet: Embedding the Semantics of Web Tables for Column Type Prediction

    Chen, J., Jiménez-Ruiz, E., Horrocks, I. & Sutton, C., 23 Jul 2019, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19): Thirty-First Conference on Innovative Applications of Artificial Intelligence The Ninth Symposium on Educational Advances in Artificial Intelligence - AAAI Technical Track: AI and the Web. Honolulu, Hawaii, United States: AAAI Press, Vol. 33. p. 29-36 8 p. (Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence).

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

  6. Riboswitch identification using Ligase-Assisted Selection for the Enrichment of Responsive Ribozymes (LigASERR)

    Haines, M. C., Storch, M., Oyarzún, D. A., Stan, G-B. & Baldwin, G. S., 8 Jul 2019, In : Synthetic Biology.

    Research output: Contribution to journalArticle

  7. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

    Cooper Stickland, A. & Murray, I., 3 Jul 2019, Proceedings of the 36th International Conference on Machine Learning (ICML). Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, USA: PMLR, Vol. 97. p. 5986-5995 12 p. (PMLR; vol. 97).

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

  8. 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

  9. How do we start? An Approach to Learning Analytics Adoption in Higher Education

    Gasevic, D., Tsai, Y-S., Dawson, S. & Pardo, A., 12 Jun 2019, In : International Journal of Information and Learning Technology. 12 p.

    Research output: Contribution to journalArticle

  10. Model Criticism in Latent Space

    Seth, S., Murray, I. & Williams, C. K. I., 11 Jun 2019, In : Bayesian analysis. 14, 3, p. 703-725 23 p.

    Research output: Contribution to journalArticle

  11. PartCrafter: Find, Generate, and Analyze BioParts

    Scher, E., Cohen, S. & Sanguinetti, G., 4 Jun 2019, In : Synthetic Biology. 4, 1, 12 p.

    Research output: Contribution to journalArticle

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