1 code implementation • 26 Apr 2024 • Richard Michael, Simon Bartels, Miguel González-Duque, Yevgen Zainchkovskyy, Jes Frellsen, Søren Hauberg, Wouter Boomsma
To optimize efficiently over discrete data and with only few available target observations is a challenge in Bayesian optimization.
1 code implementation • 21 Nov 2023 • Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma
The genome sequence contains the blueprint for governing cellular processes.
no code implementations • 27 Feb 2023 • Marloes Arts, Jes Frellsen, Wouter Boomsma
After the recent ground-breaking advances in protein structure prediction, one of the remaining challenges in protein machine learning is to reliably predict distributions of structural states.
1 code implementation • 22 Feb 2022 • Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
We present a method to approximate Gaussian process regression models for large datasets by considering only a subset of the data.
1 code implementation • 28 Nov 2020 • Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
How we choose to represent our data has a fundamental impact on our ability to subsequently extract information from them.
1 code implementation • 10 Feb 2019 • Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen
We contribute to the WGAN literature by introducing the family of $(q, p)$-Wasserstein GANs, which allow the use of more general $p$-Wasserstein metrics for $p\geq 1$ in the GAN learning procedure.
1 code implementation • NeurIPS 2018 • Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen
We prove that equivariant convolutions are the most general equivariant linear maps between fields over R^3.
no code implementations • NeurIPS 2017 • Wouter Boomsma, Jes Frellsen
We show that the models are capable of learning non-trivial functions in these molecular environments, and that our spherical convolutions generally outperform standard 3D convolutions in this setting.