Edinburgh Research Explorer
  1. 2020
  2. Sequential Bayesian Experimental Design for Implicit Models via Mutual Information

    Kleinegesse, S., Drovandi, C. & Gutmann, M. U., 31 Jul 2020, In : Bayesian analysis. p. 1-30 30 p.

    Research output: Contribution to journalArticle

  3. Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation

    Kleinegesse, S. & Gutmann, M., 1 Jun 2020, (Accepted/In press) Proceedings of the 37th International Conference on Machine Learning (ICML) 2020. PMLR, p. 7289-7299 11 p.

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

  4. 2019
  5. Efficient Bayesian Experimental Design for Implicit Models

    Kleinegesse, S. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 476-485 10 p. (Proceedings of Machine Learning Research; vol. 89).

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

  6. 2018
  7. Recognizing Emotions in Video Using Multimodal DNN Feature Fusion

    Williams, J., Kleinegesse, S., Comanescu, R. & Radu, O., Jul 2018, Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML). Association for Computational Linguistics, p. 11-19 9 p.

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