Edinburgh Research Explorer

Data Science CDT

Organisational unit: Sub-School

  1. 2020
  2. The Use of Max-Sat for Optimal Choice of Automated Theory Repairs

    Urbonas, M., Bundy, A., Casanova, J. & Li, X., 1 Sep 2020, (Accepted/In press) Proceedings of the Fortieth SGAI International Conference on Artificial Intelligence (AI 2020). Springer, Cham, 14 p.

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

  3. Robust Optimisation Monte Carlo

    Ikonomov, B. & Gutmann, M., 28 Aug 2020, Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, p. 2819-2829 10 p. (Proceedings of Machine Learning Research; vol. 108).

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

  4. Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data

    Eduardo, S., Nazábal, A., Williams, C. K. I. & Sutton, C., 28 Aug 2020, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. PMLR, p. 4056-4066 10 p. (Proceedings of Machine Learning Research; vol. 108).

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

  5. 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

  6. Inflecting when there’s no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals

    McCurdy, K., Goldwater, S. & Lopez, A., 10 Jul 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 2020. Association for Computational Linguistics (ACL), p. 1745–1756 12 p.

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

  7. 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

  8. A baseline for unsupervised advanced persistent threat detection in system-level provenance

    Berrada, G., Cheney, J., Benabderrahmane, S., Maxwell, W., Mookherjee, H., Theriault, A. & Wright, R., Jul 2020, In : Future Generation Computer Systems. 108, p. 401-413 25 p.

    Research output: Contribution to journalArticle

  9. 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

  10. 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

  11. Querying Shared Data with Security Heterogeneity

    Cao, Y., Fan, W., Wang, Y. & Yi, K., 11 Jun 2020, Proceedings of the International Conference on Management of Data 2020 (SIGMOD '20). Association for Computing Machinery (ACM), p. 575-585 11 p.

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

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