Ole Winther

  1. 2017
  2. Published

    Generative Temporal Modelling of Neuroimaging - Decomposition and Nonparametric Testing. / Hald, Ditte Høvenhoff; Winther, Ole (Main supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2017. 111 p. (DTU Compute PHD-2016; No. 417).

    Publication: ResearchPh.D. thesis – Annual report year: 2017

  3. Published

    Inferring human intentions from the brain data. / Stanek, Konrad; Winther, Ole (Main supervisor); Hansen, Lars Kai (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2017. 207 p. (DTU Compute PHD-2016; No. 420).

    Publication: ResearchPh.D. thesis – Annual report year: 2017

  4. Submitted

    Probabilistic models for structured sparsity. / Andersen, Michael Riis; Hansen, Lars Kai (Main supervisor); Winther, Ole (Supervisor).

    Technical University of Denmark, 2017. 181 p. (DTU Compute PHD-2017, Vol. 452).

    Publication: ResearchPh.D. thesis – Annual report year: 2017

  5. Published

    Semi-Supervised Generation with Cluster-aware Generative Models. / Maaløe, Lars; Fraccaro, Marco; Winther, Ole.

    In: arXiv, 2017.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

  6. 2016
  7. Published

    A theory of solving TAP equations for Ising models with general invariant random matrices. / Opper, Manfred; Çakmak, Burak; Winther, Ole.

    In: Journal of Physics A: Mathematical and Theoretical, Vol. 49, No. 11, 114002, 2016.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  8. Published

    Autoencoding beyond pixels using a learned similarity metric. / Larsen, Anders Boesen Lindbo; Sønderby, Søren Kaae; Larochelle, Hugo; Winther, Ole.

    Proceedings of the 33rd International Conference on Machine Learning (ICML 2016). 2016. (JMLR: Workshop and Conference Proceedings, Vol. 48).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  9. Published

    Auxiliary Deep Generative Models. / Maaløe, Lars; Sønderby, Casper Kaae; Sønderby, Søren Kaae; Winther, Ole.

    Proceedings of the 33rd International Conference on Machine Learning. 2016. (JMLR: Workshop and Conference Proceedings, Vol. 48).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  10. Published

    BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis. / Bagger, Frederik Otzen; Sasivarevic, Damir; Hadi Sohi, Sina; Laursen, Linea Gøricke; Pundhir, Sachin; Sønderby, Casper Kaae; Winther, Ole; Rapin, Nicolas; Porse, Bo T.

    In: Nucleic Acids Research, Vol. 44, No. D1, 2016, p. D917-D924.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  11. Submitted

    How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. / Sønderby, Casper Kaae; Raiko, Tapani; Maaløe, Lars; Sønderby, Søren Kaae; Winther, Ole.

    Proceedings of the 33rd International Conference on Machine Learning (ICML 2016). 2016. (JMLR: Workshop and Conference Proceedings, Vol. 48).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  12. Published

    Ladder Variational Autoencoder. / Sønderby, Casper Kaae; Raiko, Tapani; Maaløe, Lars; Sønderby, Søren Kaae; Winther, Ole.

    Advances in Neural Information Processing Systems 29 (NIPS 2016). 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2017

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