Wouter Boomsma

Wouter Boomsma

Professor

ORCID: 0000-0002-8257-3827

Publication year:
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  1. 2023
  2. Published

    Adaptive Cholesky Gaussian Processes

    Bartels, S., Stensbo-Smidt, K., Moreno-Muñoz, P., Boomsma, Wouter, Frellsen, J. & Hauberg, S., 2023, In: Proceedings of Machine Learning Research. 206, p. 408--452 44 p.

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

  3. Published

    Implicit Variational Inference for High-Dimensional Posteriors

    Uppal, A., Stensbo-Smidt, K., Boomsma, Wouter & Frellsen, J., 2023, Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023). NeurIPS Proceedings, 24 p. (Advances in Neural Information Processing Systems, Vol. 36).

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

  4. 2020
  5. Published

    Context Matters in Disorder Based Protein Communication

    Kragelund, Birthe Brandt, Prestel, Andreas, Wickmann, N., Martins, J., Boomsma, Wouter, Staby, L., Hendus-Altenburger, R. & Skriver, Karen, 2020, In: Biophysical Journal. 118, 3, suppl. 1, p. 491A 2407-Plat.

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

  6. 2018
  7. Published

    3D steerable CNNs: Learning rotationally equivariant features in volumetric data

    Weiler, M., Geiger, M., Welling, M., Boomsma, Wouter & Cohen, T., 2018, Proceedings of the 32nd International Conference on Neural Information Processing Systems. derc ed. NIPS Proceedings, Vol. 2018. p. 10381-10392 12 p. (Advances in Neural Information Processing Systems, Vol. 31).

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

  8. 2017
  9. Published

    Spherical convolutions and their application in molecular modelling

    Boomsma, Wouter & Frellsen, J., 2017, Neural Information Processing Systems 2017. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). NIPS Proceedings, 11 p. (Advances in Neural Information Processing Systems, Vol. 30).

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

  10. 2015
  11. Published

    What does evolution tell us about the structure of a functional amyloid protein?

    Tian, P., Boomsma, Wouter, Wang, Y., Otzen, D. E., Jensen, Mogens Høgh & Lindorff-Larsen, Kresten, 2015, In: Biophysical Journal. 108, 2, Supplement 1, p. 227a 1 p.

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

  12. 2011
  13. 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

  14. 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

  15. 2009
  16. Published

    A probabilistic approach to protein structure prediction: PHAISTOS in CASP8

    Borg, M., Boomsma, Wouter, Ferkinghoff-Borg, J., Frellsen, J., Harder, T. P., Mardia, K., Røgen, P., Stovgaard, K. & Hamelryck, Thomas Wim, 2009, LASR 2009 — Statistical Tools for Challenges in Bioinformatics. Proceedings. Gusnanto, A., Mardia, K. V. & Fallaize, C. J. (eds.). University of Leeds, p. 65-70 6 p.

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

  17. 2006
  18. Published

    Graphical models and directional statistics capture protein structure

    Boomsma, Wouter, Kent, J. T., Mardia, K. V., Taylor, C. C. & Hamelryck, Thomas Wim, 2006, Interdisciplinary Statistics and Bioinformatics. Barber, S., Baxter, P. D., Mardia, K. V. & Walls, R. E. (eds.). Leeds University Press, p. 91-94 4 p.

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

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