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., 18 Nov 2019, (Accepted/In press) In : Journal of Physics A: Mathematical and Theoretical. 24 p.

    Research output: Contribution to journalArticle

  3. Scalable Extreme Deconvolution

    Ritchie, J. & Murray, I., 2 Oct 2019, (Accepted/In press) Proceedings of the Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019). Neural Information Processing Systems, 7 p.

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

  4. Hypernetwork Knowledge Graph Embeddings

    Balazevic, I., Allen, C. & Hospedales, T. M., 9 Sep 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions. Springer International Publishing, p. 553-565 13 p. (Lecture Notes in Computer Science).

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

  5. Neural Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 3 Sep 2019, (Accepted/In press) Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Neural Information Processing Systems, 18 p.

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

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

    Vania, C., Kementchedjhieva, Y., Søgaard, A. & Lopez, A., 30 Aug 2019, (Accepted/In press) 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, 13 p.

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

  7. Semantic Graph Parsing with Recurrent Neural Network DAG Grammars

    Fancellu, F., Gilroy, S., Lopez, A. & Lapata, M., 30 Aug 2019, (Accepted/In press) 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, 13 p.

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

  8. TuckER: Tensor Factorization for Knowledge Graph Completion

    Balazevic, I., Allen, C. & Hospedales, T., 13 Aug 2019, (Accepted/In press) 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, 11 p.

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

  9. Modelling Student Participation Using Discussion Forum Data

    Farrow, E., 24 Jul 2019, (Accepted/In press) Proceedings of the 14th EC-TEL Doctoral Consortium co-located with 14th European Conference on Technology Enhanced Learning (EC-TEL 2019). CEUR Workshop Proceedings (CEUR-WS.org), 5 p.

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

  10. Analogies Explained: Towards Understanding Word Embeddings

    Allen, C. & Hospedales, T., 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. 223-231 9 p.

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

  11. 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

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