5 papers
Noether's razor: Learning Conserved Quantities
Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan
Symmetries have proven useful in machine learning models, improving generalisation and overall performance. At the same time, recent advancements in learning dynamical systems rely…
Pyramid Vector Quantization for LLMs
Tycho F. A. van der Ouderaa, Maximilian L. Croci, Agrin Hilmkil +1
Recent works on compression of large language models (LLM) using quantization considered reparameterizing the architecture such that weights are distributed on the sphere. This dem…
Deep Group-wise Variational Diffeomorphic Image Registration
Tycho F. A. van der Ouderaa, Ivana Išgum, Wouter B. Veldhuis +1
Deep neural networks are increasingly used for pair-wise image registration. We propose to extend current learning-based image registration to allow simultaneous registration of mu…
Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANs
Tycho F. A. van der Ouderaa, Daniel E. Worrall, Bram van Ginneken
Recently, paired (e.g. Pix2pix) and unpaired (e.g. CycleGAN) image-to-image translation methods have shown effective in medical imaging tasks. In practice, however, it can be diffi…
Reversible GANs for Memory-efficient Image-to-Image Translation
Tycho F. A. van der Ouderaa, Daniel E. Worrall
The Pix2pix and CycleGAN losses have vastly improved the qualitative and quantitative visual quality of results in image-to-image translation tasks. We extend this framework by exp…