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Wouter Boomsma
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2020 – today
- 2024
- [j9]Richard Michael
, Jacob Kæstel-Hansen, Peter Mørch Groth, Simon Bartels, Jesper Salomon, Pengfei Tian, Nikos S. Hatzakis, Wouter Boomsma
A systematic analysis of regression models for protein engineering. PLoS Comput. Biol. 20(5): 1012061 (2024) - [j8]Marloes Arts, Jes Frellsen, Wouter Boomsma:
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters. Trans. Mach. Learn. Res. 2024 (2024) - [c8]Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma:
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks. ICLR 2024 - [i10]Richard Michael, Simon Bartels, Miguel González Duque, Yevgen Zainchkovskyy, Jes Frellsen, Søren Hauberg, Wouter Boomsma:
A Continuous Relaxation for Discrete Bayesian Optimization. CoRR abs/2404.17452 (2024) - [i9]Miguel González Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma:
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences. CoRR abs/2406.04739 (2024) - [i8]Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma:
Kermut: Composite kernel regression for protein variant effects. CoRR abs/2407.00002 (2024) - 2023
- [j7]Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau:
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition. J. Mach. Learn. Res. 24: 71:1-71:57 (2023) - [c7]Simon Bartels, Kristoffer Stensbo-Smidt
Adaptive Cholesky Gaussian Processes. AISTATS 2023: 408-452 - [c6]Anshuk Uppal, Kristoffer Stensbo-Smidt, Wouter Boomsma, Jes Frellsen:
Implicit Variational Inference for High-Dimensional Posteriors. NeurIPS 2023 - [i7]Marloes Arts, Jes Frellsen, Wouter Boomsma:
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters. CoRR abs/2302.13711 (2023) - [i6]Anshuk Uppal, Kristoffer Stensbo-Smidt
Implicit Variational Inference for High-Dimensional Posteriors. CoRR abs/2310.06643 (2023) - [i5]Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma:
BEND: Benchmarking DNA Language Models on biologically meaningful tasks. CoRR abs/2311.12570 (2023) - 2022
- [i4]Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg:
Adaptive Cholesky Gaussian Processes. CoRR abs/2202.10769 (2022) - 2020
- [i3]Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma:
What is a meaningful representation of protein sequences? CoRR abs/2012.02679 (2020)
2010 – 2019
- 2019
- [i2]Anton Mallasto, Jes Frellsen
(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs. CoRR abs/1902.03642 (2019) - 2018
- [c5]Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen:
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. NeurIPS 2018: 10402-10413 - [i1]Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen:
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. CoRR abs/1807.02547 (2018) - 2017
- [c4]Wouter Boomsma, Jes Frellsen:
Spherical convolutions and their application in molecular modelling. NIPS 2017: 3433-3443 - 2015
- [j6]Matteo Tiberti
ENCORE: Software for Quantitative Ensemble Comparison. PLoS Comput. Biol. 11(10) (2015) - 2014
- [j5]Wouter Boomsma
Combining Experiments and Simulations Using the Maximum Entropy Principle. PLoS Comput. Biol. 10(2) (2014) - 2013
- [j4]Wouter Boomsma
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure. J. Comput. Chem. 34(19): 1697-1705 (2013) - 2012
- [j3]Tim Harder, Mikael Borg
Fast large-scale clustering of protein structures using Gauss integrals. Bioinform. 28(4): 510-515 (2012) - 2010
- [j2]Tim Harder, Wouter Boomsma
Beyond rotamers: a generative, probabilistic model of side chains in proteins. BMC Bioinform. 11: 306 (2010)
2000 – 2009
- 2005
- [j1]Wouter Boomsma
Full cyclic coordinate descent: solving the protein loop closure problem in Calpha space. BMC Bioinform. 6: 159 (2005) - 2004
- [c3]Wouter Boomsma:
A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem. EvoCOP 2004: 31-40 - [c2]René Thomsen, Wouter Boomsma:
Multiple Sequence Alignment Using SAGA: Investigating the Effects of Operator Scheduling, Population Seeding, and Crossover Operators. EvoWorkshops 2004: 113-122 - 2003
- [c1]Wouter Boomsma:
Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problem. IEEE Congress on Evolutionary Computation 2003: 1274-1279
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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