Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO

Member of:

    ORCID: 0000-0002-1966-3205

    Publication year:
    All
    1 - 9 out of 9Page size: 10
    1. 2024
    2. Published

      BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks

      Marin, Frederikke Isa, Teufel, Felix Georg, Horlacher, M., Madsen, D., Pultz, D., Winther, Ole & Boomsma, Wouter, 2024. 36 p.

      Research output: Contribution to conference › Paper › Research

    3. 2023
    4. Published

      Variational Open-Domain Question Answering

      Liévin, V., Motzfeldt, A. G., Jensen, I. R. & Winther, Ole, 2023, In: Proceedings of Machine Learning Research. 202, p. 20950-20977 28 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    5. 2020
    6. Published

      Optimal Variance Control of the Score-Function Gradient Estimator for Importance Weighted Bounds

      Liévin, V., Dittadi, A., Christensen, Anders & Winther, Ole, 2020, In: Advances in Neural Information Processing Systems. 2020-December, 12 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    7. 2016
    8. Published

      Autoencoding beyond pixels using a learned similarity metric

      Larsen, A. B. L., Sønderby, S. K., Larochelle, H. & Winther, Ole, 2016, Proceedings of The 33rd International Conference on Machine Learning. Balcan, M. F. & Weinberger, K. Q. (eds.). p. 1558–1566 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 48).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    9. Published

      Ladder variational autoencoders

      Sønderby, C. K., Raiko, T., Maaløe, L., Sønderby, S. K. & Winther, Ole, 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Curran Associates, Inc., p. 3745-3753 9 p. (Advances in Neural Information Processing Systems, Vol. 29).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. Published

      Sequential neural models with stochastic layers

      Fraccaro, M., Sønderby, S. K., Paquet, U. & Winther, Ole, 2016, Neural Information Processing Systems 2016. Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Neural Information Processing Systems Foundation, p. 2207-2215 9 p. (Advances in Neural Information Processing Systems, Vol. 29).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    11. 2015
    12. Published

      Convolutional LSTM networks for subcellular localization of proteins

      Sønderby, S. K., Sønderby, C. K., Nielsen, H. & Winther, Ole, 2015, Algorithms for Computational Biology. Dediu, A-H., Hernández-Quiroz, F., Martín-Vide, C. & Rosenblueth, D. A. (eds.). Springer, p. 68-80 13 p. (Lecture notes in computer science, Vol. 9199).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    13. 2013
    14. Published

      Improving The Analysis Of Gene Expression Profiles By Comparing AML Blasts With Their Nearest Normal Counterparts

      Rapin, N., Bagger, F. O., Jendholm, J., Mora-Jensen, H. I., Krogh, Anders, Kohlmann, A., Thiede, C., Borregaard, N., Bullinger, L., Winther, Ole, Theilgaard-Mønch, Kim & Porse, Bo Torben, 2013, In: Blood. 122, 21

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    15. 2012
    16. Published

      Predictive active set selection methods for Gaussian processes

      Henao, R. & Winther, Ole, 2012, In: Neurocomputing. 80, p. 10-18 9 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    ID: 171145930