Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor

ORCID: 0000-0003-2917-3602

Publication year:
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1 - 10 out of 14Page size: 10
  1. 2024
  2. Published

    AI Implementation and Capability Development in Manufacturing: An Action Research Case

    Eklöf, Jon, Snis, U. L., Hamelryck, Thomas Wim, Grima, A. & Rønning, Ola, 2024, Proceedings of the 57th Hawaii International Conference on System Sciences - HICSS 2024. Hawaii International Conference on System Sciences, 10 p.

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

  3. 2021
  4. Published

    Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model

    Thygesen, Christian Bahne, Al-Sibahi, A. S., Steenmanns, C. S., Sanz Moreta, Lys, Sørensen, A. B. & Hamelryck, Thomas Wim, 2021, International Conference on Machine Learning, 18-24 July 2021, Virtual. PMLR, p. 10258-10267 (Proceedings of Machine Learning Research, Vol. 139).

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

  5. Published

    Time-efficient Bayesian Inference for a (Skewed) von Mises Distribution on the Torus in a Deep Probabilistic Programming Language

    Rønning, Ola, Ley, C., Mardia, K. V. & Hamelryck, Thomas Wim, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, p. 1-8

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

  6. 2020
  7. Published

    Bayesian protein superposition using Hamiltonian Monte Carlo

    Sanz Moreta, Lys, Al-Sibahi, A. S. & Hamelryck, Thomas Wim, Oct 2020, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. IEEE, p. 1-11 9288019

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

  8. 2019
  9. Published

    A Probabilistic Programming Approach to Protein Structure Superposition

    Sanz Moreta, Lys, Al-Sibahi, A. S., Theobald, D., Bullock, W., Rommes, B. N., Manoukian, Andreas & Hamelryck, Thomas Wim, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019. Baruzzo, G., Daberdaku, S., Di Camillo, B., Furini, S., Giordano, E. D. & Nicosia, G. (eds.). IEEE, 5 p. 8791469

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

  10. 2018
  11. Published

    Probabilistic Programming for Voucher Information Extraction: Preliminary Practical Experiences

    Al-Sibahi, A. S., Hamelryck, Thomas Wim & Henglein, Fritz, 2018.

    Research output: Contribution to conference › Poster › Research

  12. 2013
  13. Published

    Combining the multicanonical ensemble with generative probabilistic models of local biomolecular structure

    Frellsen, J., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2013, Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013 . Hague, p. 139-144 6 p.

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

  14. 2011
  15. Published

    A statistical view on the reference ratio method

    Mardia, K., Frellsen, J., Borg, M., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 6 p.

    Research output: Contribution to conference › Paper › Research

  16. Published

    Efficient, non-disruptive local moves for Monte Carlo sampling of proteins

    Bottaro, S., Boomsma, Wouter, Johansson, Kristoffer Enøe, Andreetta, C., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2011, Next Generation Statistics in Biosciences: Proceedings of the 30th Leeds Annual Statistical Research (LASR) Workshop. Mardia, K. V., Gusnanto, A., Riley, A. D. & Voss, J. (eds.). University of Leeds, p. 127 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

  17. Published

    Iterative ratio method: a formal justification for the potentials of mean force

    Valentin, J., Andreetta, C., Paluszewski, M., Borg, M., Frellsen, J., Paulsen, J., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 1 p.

    Research output: Contribution to conference › Poster › Research

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