ITU
Jes Frellsen

Jes Frellsen

Associate Professor

IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark

Building: 4E11

Phone: +45 7218 5030

Information Desk: 72185000

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  1. 2019
  2. Published

    MIWAE: Deep Generative Modelling and Imputation of Incomplete Data

    Mattei, P-A. & Frellsen, J., 2019, Proceedings of the 36th International Conference on Machine Learning, PMLR . Vol. 97. p. 4413-4423

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  3. Published

    Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

    Wiqvist, S., Mattei, P-A., Picchini, U. & Frellsen, J., 2019, Proceedings of the 36th International Conference on Machine Learning, PMLR. Vol. 97. p. 6798-6807

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  4. 2018
  5. Published

    Directional Statistics in Protein Bioinformatics

    Mardia, K. V., Frellsen, J. & Foldager, J. I., 2018, Applied Directional Statistics: Modern Methods and Case Studies. 1st Edition ed. CRC Press, p. 1-24 (Chapman & Hall/CRC Interdisciplinary Statistics).

    Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review

  6. Published

    Leveraging the Exact Likelihood of Deep Latent Variable Models

    Mattei, P-A. & Frellsen, J., 2018, In : Advances in Neural Information Processing Systems. 31, p. 3859-3870

    Research output: Journal Article or Conference Article in JournalConference articleResearchpeer-review

  7. Published

    missIWAE: Deep Generative Modelling and Imputation of Incomplete Data

    Mattei, P-A. & Frellsen, J., 2018.

    Research output: Contribution to conference - NOT published in proceeding or journalPaperResearchpeer-review

  8. Published

    Refit your Encoder when New Data Comes by

    Mattei, P-A. & Frellsen, J., 2018.

    Research output: Contribution to conference - NOT published in proceeding or journalPaperResearchpeer-review

  9. 2017
  10. Published

    Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation

    Brouwer, T., Frellsen, J. & Liò, P., 2017, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database 2017. Springer, p. 513-529 (Lecture Notes in Computer Science, Vol. 10534).

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  11. Published

    Spherical convolutions and their application in molecular modelling

    Boomsma, W. & Frellsen, J., 2017, Advances in Neural Information Processing Systems 30: NIPS 2017. Curran Associates, Inc., p. 3436-3446

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  12. Published

    The Multivariate Generalised von Mises Distribution: Inference and Applications

    Navarro, A. K. W., Frellsen, J. & Turner, R., 2017, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). AAAI Press, p. 2394-2400

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  13. 2016
  14. Published

    Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation

    Brouwer, T., Frellsen, J. & Liò, P., 9 Dec 2016.

    Research output: Contribution to conference - NOT published in proceeding or journalPaperResearchpeer-review

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