David Sterratt

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David Sterratt

DR

 https://orcid.org/0000-0001-9092-9099
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  • 2019

    Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Papamakarios, G., Sterratt, D. C. & Murray, I., 18 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019. Naha, Okinawa, Japan: PMLR, p. 837-848 12 p. (Proceedings of Machine Learning Research; vol. 89).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • 2014

    Integration of rule-based models and compartmental models of neurons

    Sterratt, D. C., Sorokina, O. & Armstrong, J. D., 2014, Hybrid Systems and Biology: Second International Workshop, HSB 2013, Taormina, Italy, September 2, 2013 and Third International Workshop, HSB 2014, Vienna, Austria, July 23-24, 2014, Revised Selected Papers. Springer, p. 143-158 16 p. (Lecture Notes in Computer Science; vol. 7699).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
  • 2002

    Does Morphology Influence Temporal Plasticity?

    van Ooyen, A. & Sterratt, D., 2002, Artificial Neural Networks — ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002 ProceedingsInternational Conference Madrid, Spain, August 28–30, 2002 Proceedings. Dorronsoro, J. (ed.). Springer, p. 186-191 6 p. (Lecture Notes in Computer Science; vol. 2415).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 1999

    Is a biological temporal learning rule compatible with learning synfire chains?

    Sterratt, D. C., 1999, Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470). IET, Vol. 2. p. 551-556 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution