Boomsma, Wouter

10 publications

NeurIPS 2025 Zero-Shot Protein Stability Prediction by Inverse Folding Models: A Free Energy Interpretation Jes Frellsen, Maher M. Kassem, Tone Bengtsen, Lars Olsen, Kresten Lindorff-Larsen, Jesper Ferkinghoff-Borg, Wouter Boomsma

NeurIPS 2024 A Survey and Benchmark of High-Dimensional Bayesian Optimization of Discrete Sequences Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma

ICLR 2024 BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma

TMLR 2024 Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters Marloes Arts, Jes Frellsen, Wouter Boomsma

NeurIPS 2024 Kermut: Composite Kernel Regression for Protein Variant Effects Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma

AISTATS 2023 Adaptive Cholesky Gaussian Processes Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Soren Hauberg

NeurIPS 2023 Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal, Kristoffer Stensbo-Smidt, Wouter Boomsma, Jes Frellsen

JMLR 2023 Kernel-Matrix Determinant Estimates from Stopped Cholesky Decomposition Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau

NeurIPS 2018 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco S Cohen

NeurIPS 2017 Spherical Convolutions and Their Application in Molecular Modelling Wouter Boomsma, Jes Frellsen