Edinburgh Research Explorer

Data Science CDT

Organisational unit: Sub-School

  1. 2019
  2. Parameter estimation for biochemical reaction networks using Wasserstein distances

    Öcal, K., Grima, R. & Sanguinetti, G., 23 Dec 2019, In : Journal of Physics A: Mathematical and Theoretical. 53, 3, p. 1-23 24 p., 034002.

    Research output: Contribution to journalArticle

  3. Multi-relational Poincaré Graph Embeddings

    Balaževic, I., Allen, C. & Hospedales, T., 14 Dec 2019, Advances in Neural Information Processing Systems (NIPS 2019). Curran Associates Inc, Vol. 32. p. 4465-4475 11 p.

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

  4. Neural Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Curran Associates Inc, Vol. 32. p. 7509-7520 12 p.

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

  5. Scalable Extreme Deconvolution

    Ritchie, J. & Murray, I., 14 Dec 2019. 7 p.

    Research output: Contribution to conferencePoster

  6. What the Vec? Towards Probabilistically Grounded Embeddings

    Allen, C., Balazevic, I. & Hospedales, T., 14 Dec 2019, Advances in Neural Information Processing Systems (NIPS 2019). Curran Associates Inc, Vol. 32. p. 7465-7475 13 p.

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

  7. Dialogue attributes that inform depth and quality of participation in course discussion forums

    Farrow, E., Moore, J. & Gašević, D., 2 Dec 2019, (Accepted/In press) Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20) . 6 p.

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

  8. Modelling Student Participation Using Discussion Forum Data

    Farrow, E., 18 Nov 2019, (Accepted/In press) Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK20). 6 p.

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

  9. A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages

    Vania, C., Kementchedjhieva, Y., Søgaard, A. & Lopez, A., 4 Nov 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, p. 1105–1116 13 p.

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

  10. Semantic Graph Parsing with Recurrent Neural Network DAG Grammars

    Fancellu, F., Gilroy, S., Lopez, A. & Lapata, M., 4 Nov 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, p. 2769–2778 13 p.

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

  11. TuckER: Tensor Factorization for Knowledge Graph Completion

    Balazevic, I., Allen, C. & Hospedales, T., 4 Nov 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, p. 5184-5193 11 p.

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

Previous 1 2 3 4 5 6 Next