Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-8257-3827
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- Published
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
Bartels, S., Boomsma, Wouter, Frellsen, J. & Garreau, D., 2023, In: Journal of Machine Learning Research. 24, p. 1-57 71.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Bayesian inference of protein ensembles from SAXS data
Antonov, L. D., Olsson, S., Boomsma, Wouter & Hamelryck, Thomas Wim, 2016, In: Physical Chemistry Chemical Physics. 18, 8, p. 5832-5838 7 p.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
Research output: Contribution to journal › Journal article › Research › peer-review
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Research output: Contribution to journal › Journal article › Research › peer-review
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1429
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Research output: Contribution to journal › Journal article › Research › peer-review
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