Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2023
- 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
- 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
- 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
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components
Kampmeyer, Caroline, Grønbæk-Thygesen, Martin, Oelerich, N., Tatham, M. H., Cagiada, Matteo, Lindorff-Larsen, K., Boomsma, Wouter, Hofmann, K. & Hartmann-Petersen, Rasmus, 2023, In: Cellular and Molecular Life Sciences. 80, 6, 18 p., 143.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Phosphorylation of Schizosaccharomyces pombe Dss1 mediates direct binding to the ubiquitin-ligase Dma1 in vitro
Jacobsen, Nina Louise, Bloch, Magnus Borup, Millard, P. S., Ruidiaz, Sarah Frederiksen, Elsborg, Jonas Damgaard, Boomsma, Wouter, Hendus-Altenburger, R., Hartmann-Petersen, Rasmus & Kragelund, Birthe Brandt, 2023, In: Protein Science. 32, 9, 16 p., e4733.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Rapid protein stability prediction using deep learning representations
Blaabjerg, Lasse Møller, Kassem, M. M., Good, L. L., Jonsson, Nicolas, Cagiada, Matteo, Johansson, Kristoffer Enøe, Boomsma, Wouter, Stein, Amelie & Lindorff-Larsen, Kresten, 2023, In: eLife. 12, 19 p., e82593.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 40103911
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2311
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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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1432
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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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1431
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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
Published