Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
Ancient biomolecules from deep ice cores reveal a forested southern Greenland.
Willerslev, E., Cappellini, E., Boomsma, W. K., Nielsen, R., Hebsgaard, M. B., Brand, T. B., Hofreiter, M., Bunce, M., Poinar, H. N., Dahl-Jensen, D., Johnsen, S. J., Steffensen, J. P., Bennike, O., Schwenninger, J-L., Nathan, R., Armitage, S., de Hoog, C-J., Alfimov, V., Christl, M., Beer, J. & 10 others, , 2007, In: Science. 317, 5834, p. 111-114 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
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Monte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State Bias
Wang, Y., Tian, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2018, In: Journal of Physical Chemistry B. 122, 49, p. 11174-11185Research output: Contribution to journal › Journal article › Research › peer-review
- 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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Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method
Valentin, J., Andreetta, C., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J., Frellsen, J., Mardia, K. V., Tian, P. & Hamelryck, Thomas Wim, 2014, In: Proteins: Structure, Function, and Bioinformatics. 82, 2, p. 288-299 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
- Published
ENCORE: Software for Quantitative Ensemble Comparison
Tiberti, M., Papaleo, E., Bengtsen, T., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2015, In: PLoS Computational Biology. 11, 10, 16 p., e1004415.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- Published
Robust estimation of diffusion-optimized ensembles for enhanced sampling
Tian, P., Jónsson, S. Æ., Ferkinghoff-Borg, J., Krivov, S. V. .., Lindorff-Larsen, Kresten, Irbäck, A. & Boomsma, Wouter, 2014, In: Journal of Chemical Theory and Computation. 10, 2, p. 543–553 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A Monte Carlo study of the early steps of functional amyloid formation
Tian, P., Lindorff-Larsen, Kresten, Boomsma, Wouter, Jensen, Mogens Høgh & Otzen, D. E., 2016, In: P L o S One. 11, 1, 18 p., e0146096.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 40103911
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
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1433
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
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