Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2020
  2. Geocoding of trees from street addresses and street-level images

    Laumer, D., Lang, N., van Doorn, N., Mac Aodha, O., Perona, P. & Dirk Wegner, J., 21 Feb 2020, In : ISPRS Journal of Photogrammetry and Remote Sensing. 162, p. 125-136 12 p.

    Research output: Contribution to journalArticle

  3. Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations

    Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., 19 Feb 2020, (Accepted/In press) In : Bayesian analysis. 37 p.

    Research output: Contribution to journalArticle

  4. Automatic Generation of Specialized Direct Convolutions for Mobile GPUs

    Mogers, N., Radu, V., Li, L., Turner, J., O'Boyle, M. & Dubach, C., 20 Jan 2020, (Accepted/In press) GPGPU '20: Proceedings of the 13th Workshop on General Purpose Processing Using GPUs. ACM, 10 p.

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

  5. Assessing the validity of a learning analytics expectation instrument: A multinational study

    Whitelock-Wainwright, A., Gasevic, D., Tsai, Y-S., Drachsler, H., Scheffel, M., Muñoz-Merino, P., Tammets, K. & Delgado Kloos, C., 14 Jan 2020, In : Journal of Computer Assisted Learning. p. 1-32 32 p.

    Research output: Contribution to journalArticle

  6. State-dependent brainstem ensemble dynamics and their interactions with hippocampus across sleep states

    Tsunematsu, T., Patel, A., Onken, A. & Sakata, S., 14 Jan 2020, In : eLIFE. 9, 22 p., e52244.

    Research output: Contribution to journalArticle

  7. Genome-wide CRISPR screen Identifies Host Dependency Factors for Influenza A Virus Infection

    Li, B., Clohisey, S. M., Chia, B. S., Wang, B., Cui, A., Eisenhaure, T., Schweitzer, L. D., Hoover, P., Parkinson, N. J., Nachshon, A., Smith, N., Regan, T., Farr, D., Gutmann, M. U., Bukhari, S. I., Law, A., Sangesland, M., Gat-viks, I., Digard, P., Vasudevan, S. & 5 others, Lingwood, D., Dockrell, D. H., Doench, J. G., Baillie, J. K. & Hacohen, N., 9 Jan 2020, In : Nature Communications. 11, 1

    Research output: Contribution to journalArticle

  8. Robust Optimisation Monte Carlo

    Ikonomov, B. & Gutmann, M., 6 Jan 2020, (Accepted/In press) Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics. 15 p.

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

  9. BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

    Turner, J., Crowley, E., O'Boyle, M., Storkey, A. & Gray, G., 1 Jan 2020, (Accepted/In press) Proceedings to the International Conference on Learning Representations 2020. 15 p.

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

  10. 2019
  11. Multiobjective optimization of gene circuits for metabolic engineering

    Otero-Muras, I., Mannan, A. A., Banga, J. R. & Oyarzún, D. A., 26 Dec 2019, In : IFAC-PapersOnLine. 52, 26, p. 13-16 4 p.

    Research output: Contribution to journalArticle

  12. 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

  13. Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification

    Breier, B. & Onken, A., 20 Dec 2019, Proceedings of the International Conference on Learning Representations, 2020. Addis Ababa, Ethiopia

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

  14. Generative Ratio Matching Networks

    Srivastava, A., Xu, K., Gutmann, M. & Sutton, C., 20 Dec 2019, (Accepted/In press) Proceedings of the International Conference on Learning Representations 2020. 18 p.

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

  15. 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

  16. Scalable Extreme Deconvolution

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

    Research output: Contribution to conferencePoster

  17. Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference

    Hurwitz, C. L., Xu, K., Srivastava, A., Buccino, A. P. & Hennig, M., 14 Dec 2019, Advances in Neural Information Processing Systems 32. Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E. & Ganett, R. (eds.). Curran Associates Inc, Vol. 32. p. 4726-4738 13 p.

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

  18. Teaching Multiple Concepts to a Forgetful Learner

    Hunziker, A., Chen, Y., Mac Aodha, O., Gomez Rodriguez, M., Krause, A., Perona, P., Yue, Y. & Singla, A., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Curran Associates Inc, Vol. 32. p. 4050-4060 23 p.

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

  19. Statistical abstraction for multi-scale spatio-temporal systems

    Michaelides, M., Hillston, J. & Sanguinetti, G., 10 Dec 2019, In : ACM Transactions on Modeling and Computer Simulation. 29, 4, p. 22:1-22:29 29 p., 22.

    Research output: Contribution to journalArticle

  20. Disciplinary Differences in Blended Learning Design: A Network Analytic Study

    Whitelock-Wainwright, A., Tsai, Y-S., Lyons, K., Khalif, S., Bryant, M., Ryan, K. & Gasevic, D., 2 Dec 2019, (Accepted/In press) The 10th International Learning Analytics & Knowledge Conference. ACM, 10 p.

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

  21. Perceptions and expectation about Learning Analytics from a Brazilian Higher Education Institution

    Pontual, T., Ferreira Mello, R., Lins, R., Diniz, J., Tsai, Y-S. & Gasevic, D., 2 Dec 2019, (Accepted/In press) The 10th International Learning Analytics & Knowledge Conference. ACM, 10 p.

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

  22. The privacy paradox and its implications for learning analytics

    Tsai, Y-S., Whitelock-Wainwright, A. & Gasevic, D., 2 Dec 2019, (Accepted/In press) The 10th International Learning Analytics & Knowledge Conference. ACM, 10 p.

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

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