Wouter Boomsma
Københavns Universitet
H-index: 27
Europe-Denmark
Top articles of Wouter Boomsma
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A Continuous Relaxation for Discrete Bayesian Optimization | arXiv preprint arXiv:2404.17452 | Richard Michael Simon Bartels Miguel González-Duque Yevgen Zainchkovskyy Jes Frellsen | 2024/4/26 |
Implicit Variational Inference for High-Dimensional Posteriors | Advances in Neural Information Processing Systems | Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma Jes Frellsen | 2024/2/13 |
Deep learning assisted single particle tracking for automated correlation between diffusion and function | Nikos Hatzakis Jacob Kaestel-Hansen Marilina de Sautu Anand Saminathan Gustavo Scanavachi | 2024/2/2 | |
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters | arXiv preprint arXiv:2302.13711 | Marloes Arts Jes Frellsen Wouter Boomsma | 2023/2/27 |
Phosphorylation of Schizosaccharomyces pombe Dss1 mediates direct binding to the ubiquitin‐ligase Dma1 in vitro | Protein Science | Nina L Jacobsen Magnus Bloch Peter S Millard Sarah F Ruidiaz Jonas D Elsborg | 2023/9 |
A joint embedding of protein sequence and structure enables robust variant effect predictions | bioRxiv | Lasse M Blaabjerg Nicolas Jonsson Wouter Boomsma Amelie Stein Kresten Lindorff-Larsen | 2023 |
Assessing the performance of protein regression models | bioRxiv | Richard Michael Jacob Kæstel-Hansen Peter Mørch Groth Simon Bartels Jesper Salomon | 2023/6/21 |
Flop: Tasks for fitness landscapes of protein wildtypes | bioRxiv | Peter Mørch Groth Richard Michael Jesper Salomon Pengfei Tian Wouter Boomsma | 2023 |
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components | Cellular and Molecular Life Sciences | Caroline Kampmeyer Martin Grønbæk-Thygesen Nicole Oelerich Michael H Tatham Matteo Cagiada | 2023/6 |
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition | Journal of Machine Learning Research | Simon Bartels Wouter Boomsma Jes Frellsen Damien Garreau | 2023 |
Rapid protein stability prediction using deep learning representations | Elife | Lasse M Blaabjerg Maher M Kassem Lydia L Good Nicolas Jonsson Matteo Cagiada | 2023/5/15 |
Adaptive Cholesky Gaussian Processes | Simon Bartels Kristoffer Stensbo-Smidt Pablo Moreno-Muñoz Wouter Boomsma Jes Frellsen | 2023/4/11 | |
BEND: Benchmarking DNA Language Models on biologically meaningful tasks | arXiv e-prints | Frederikke Isa Marin Felix Teufel Marc Horlacher Dennis Madsen Dennis Pultz | 2023/11 |
Accelerating single particle discoveries using machine learning | Biophysical Journal | Jacob Kæstel-Hansen Søren S-R Bohr Frank Høgh Schulz Annette Juma Nielsen Wouter Krogh Boomsma | 2022/2/11 |
Gene finding revisited: improved robustness through structured decoding from learning embeddings | Frederikke Isa Marin Dennis Pultz Wouter Boomsma | 2022/9/29 | |
Linearised Implicit Variational Inference | Anshuk Uppal Wouter Boomsma Jes Frellsen | 2022/9/29 | |
Flop: Tasks for fitness landscapes of protein families using sequence-and structure-based representations | Peter Mørch Groth Richard Michael Pengfei Tian Jesper Salomon Wouter Boomsma | 2022/9/29 | |
A context-dependent and disordered ubiquitin-binding motif | Cellular and Molecular Life Sciences | Jesper E Dreier Andreas Prestel João M Martins Sebastian S Brøndum Olaf Nielsen | 2022/9 |
Learning meaningful representations of protein sequences | Nature communications | Nicki Skafte Detlefsen Søren Hauberg Wouter Boomsma | 2022/4/8 |
MembraneFold: Visualising transmembrane protein structure and topology | bioRxiv | Santiago Gutierrez Wojciech G Tyczynski Wouter Boomsma Felix Teufel Ole Winther | 2022/12/8 |
Co-Authors
