Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2018
  2. The iNaturalist Species Classification and Detection Dataset

    Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P. & Belongie, S., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 8769-8778 10 p.

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

  3. 2019
  4. EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control

    Ivan, V., Yang, Y., Merkt, W., Camilleri, M. P. & Vijayakumar, S., 2019, Robot Operating System (ROS): The Complete Reference (Volume 3). Koubaa, A. (ed.). Cham: Springer International Publishing, p. 211-240 30 p. (Studies in Computational Intelligence ; vol. 778).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  5. Exploration by random network distillation

    Burda, Y., Edwards, H., Storkey, A. & Klimov, O., 2019. 17 p.

    Research output: Contribution to conferencePaper

  6. Gene Regulatory Network Inference: An Introductory Survey

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  7. Gene Regulatory Networks: Methods and Protocols

    Sanguinetti, G. (ed.) & Huynh-Thu, V. A. (ed.), 2019, Humana Press. 285 p. (Methods in Molecular Biology Series Volume; vol. 1883)

    Research output: Book/ReportBook

  8. How to train your MAML

    Antoniou, A., Edwards, H. & Storkey, A., 2019. 11 p.

    Research output: Contribution to conferencePaper

  9. Large-Scale Study of Curiosity-Driven Learning

    Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T. & Efros, A. A., 2019. 15 p.

    Research output: Contribution to conferencePaper

  10. On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

    Jastrzębski, S., Kenton, Z., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., 2019. 19 p.

    Research output: Contribution to conferencePaper

  11. RKappa: Software for Analyzing Rule-Based Models

    Sorokin, A., Sorokina, O. & Douglas Armstrong, J., 2019, Modeling Biomolecular Site Dynamics: Methods and Protocols. Hlavacek, W. S. (ed.). New York, NY: Springer New York LLC, p. 363-390 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter