755 citations · 2k across the 16 of their papers we have counts for
17 papers
Continuous diffusion for categorical data
Sander Dieleman, Laurent Sartran, Arman Roshannai +11
Diffusion models have quickly become the go-to paradigm for generative modelling of perceptual signals (such as images and sound) through iterative refinement. Their success hinges…
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs
Dan Rosenbaum, Marta Garnelo, Michal Zielinski +10
Cryo-electron microscopy (cryo-EM) has revolutionized experimental protein structure determination. Despite advances in high resolution reconstruction, a majority of cryo-EM experi…
Accelerated Forward-Backward Optimization using Deep Learning
Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem +1
We propose several deep-learning accelerated optimization solvers with convergence guarantees. We use ideas from the analysis of accelerated forward-backward schemes like FISTA, bu…
On the unreasonable effectiveness of CNNs
Andreas Hauptmann, Jonas Adler
Deep learning methods using convolutional neural networks (CNN) have been successfully applied to virtually all imaging problems, and particularly in image reconstruction tasks wit…
Kernel of CycleGAN as a Principle homogeneous space
Nikita Moriakov, Jonas Adler, Jonas Teuwen
Unpaired image-to-image translation has attracted significant interest due to the invention of CycleGAN, a method which utilizes a combination of adversarial and cycle consistency…
A unified representation network for segmentation with missing modalities
Kenneth Lau, Jonas Adler, Jens Sjölund
Over the last few years machine learning has demonstrated groundbreaking results in many areas of medical image analysis, including segmentation. A key assumption, however, is that…