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Daniel Worrall
Daniel Worrall
University of Amsterdam
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Harmonic networks: Deep translation and rotation equivariance
DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
6152017
Se (3)-transformers: 3d roto-translation equivariant attention networks
F Fuchs, D Worrall, V Fischer, M Welling
Advances in Neural Information Processing Systems 33, 1970-1981, 2020
3032020
Bayesian image quality transfer with CNNs: exploring uncertainty in dMRI super-resolution
R Tanno, DE Worrall, A Ghosh, E Kaden, SN Sotiropoulos, A Criminisi, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
1472017
Cubenet: Equivariance to 3d rotation and translation
D Worrall, G Brostow
Proceedings of the European Conference on Computer Vision (ECCV), 567-584, 2018
1222018
Deep scale-spaces: Equivariance over scale
D Worrall, M Welling
Advances in Neural Information Processing Systems 32, 2019
1152019
Learning likelihoods with conditional normalizing flows
C Winkler, D Worrall, E Hoogeboom, M Welling
arXiv preprint arXiv:1912.00042, 2019
972019
Interpretable transformations with encoder-decoder networks
DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow
Proceedings of the IEEE International Conference on Computer Vision, 5726-5735, 2017
912017
Automated retinopathy of prematurity case detection with convolutional neural networks
DE Worrall, CM Wilson, GJ Brostow
Deep Learning and Data Labeling for Medical Applications: First …, 2016
762016
Supervised uncertainty quantification for segmentation with multiple annotations
S Hu, D Worrall, S Knegt, B Veeling, H Huisman, M Welling
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
722019
Mdp homomorphic networks: Group symmetries in reinforcement learning
E Van der Pol, D Worrall, H van Hoof, F Oliehoek, M Welling
Advances in Neural Information Processing Systems 33, 4199-4210, 2020
682020
Message passing neural PDE solvers
J Brandstetter, D Worrall, M Welling
arXiv preprint arXiv:2202.03376, 2022
592022
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
R Tanno, DE Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
NeuroImage 225, 117366, 2021
582021
Reversible gans for memory-efficient image-to-image translation
TFA van der Ouderaa, DE Worrall
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
402019
Uncertainty quantification in deep learning for safer neuroimage enhancement
R Tanno, D Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
arXiv preprint arXiv:1907.13418, 2019
342019
Learning to convolve: A generalized weight-tying approach
N Diaconu, D Worrall
International Conference on Machine Learning, 1586-1595, 2019
142019
Lie point symmetry data augmentation for neural pde solvers
J Brandstetter, M Welling, DE Worrall
International Conference on Machine Learning, 2241-2256, 2022
122022
Witnessing atrocities: quantifying villages destruction in Darfur with crowdsourcing and transfer learning
J Cornebise, D Worrall, M Farfour, M Marin
Proc. AI for Social Good NeurIPS2018 Workshop, NeurIPS’18, 2018
72018
Chest CT super-resolution and domain-adaptation using memory-efficient 3D reversible GANs
TFA van der Ouderaa, DE Worrall, B van Ginneken
arXiv preprint arXiv:1908.00295, 2019
52019
Affine self convolution
N Diaconu, DE Worrall
arXiv preprint arXiv:1911.07704, 2019
32019
Virtual adversarial ladder networks for semi-supervised learning
S Shinoda, DE Worrall, GJ Brostow
arXiv preprint arXiv:1711.07476, 2017
32017
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