Daniel E. Worrall

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 34

Top Topics

Image Enhancement

Convolutional Neural Networks

Subpixel Accuracy

Top Venues

Publications

Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
Neural Simulated Annealing. AISTATS (2023)
Johannes Brandstetter, Max Welling, Daniel E. Worrall
Lie Point Symmetry Data Augmentation for Neural PDE Solvers. ICML (2022)
Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
Learning Perturbations for Soft-Output Linear MIMO Demappers. CoRR (2022)
Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
Neural Simulated Annealing. CoRR (2022)
Johannes Brandstetter, Daniel E. Worrall, Max Welling
Message Passing Neural PDE Solvers. CoRR (2022)
Johannes Brandstetter, Max Welling, Daniel E. Worrall
Lie Point Symmetry Data Augmentation for Neural PDE Solvers. CoRR (2022)
Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
Learning Perturbations for Soft-Output Linear MIMO Demappers. GLOBECOM (2022)
Johannes Brandstetter, Daniel E. Worrall, Max Welling
Message Passing Neural PDE Solvers. ICLR (2022)
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage 225 (2021)
Fabian Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks. NeurIPS (2020)
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. NeurIPS (2020)
Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks. CoRR (2020)
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. CoRR (2020)
Tycho F. A. van der Ouderaa, Daniel E. Worrall
Reversible GANs for Memory-efficient Image-to-Image Translation. CoRR (2019)
Shi Hu, Daniel E. Worrall, Stefan Knegt, Bas Veeling, Henkjan J. Huisman, Max Welling
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. MICCAI (2) (2019)
Daniel E. Worrall, Max Welling
Deep Scale-spaces: Equivariance Over Scale. CoRR (2019)
Shi Hu, Daniel E. Worrall, Stefan Knegt, Bastiaan S. Veeling, Henkjan J. Huisman, Max Welling
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. CoRR (2019)
Nichita Diaconu, Daniel E. Worrall
Affine Self Convolution. CoRR (2019)
Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom, Max Welling
Learning Likelihoods with Conditional Normalizing Flows. CoRR (2019)
Tycho F. A. van der Ouderaa, Daniel E. Worrall
Reversible GANs for Memory-Efficient Image-To-Image Translation. CVPR (2019)
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. CoRR (2019)
Nichita Diaconu, Daniel E. Worrall
Learning to Convolve: A Generalized Weight-Tying Approach. ICML (2019)
Nichita Diaconu, Daniel E. Worrall
Learning to Convolve: A Generalized Weight-Tying Approach. CoRR (2019)
Daniel E. Worrall, Max Welling
Deep Scale-spaces: Equivariance Over Scale. NeurIPS (2019)
Daniel E. Worrall, Gabriel J. Brostow
CubeNet: Equivariance to 3D Rotation and Translation. CoRR (2018)
Daniel E. Worrall, Gabriel J. Brostow
CubeNet: Equivariance to 3D Rotation and Translation. ECCV (5) (2018)
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow
Harmonic Networks: Deep Translation and Rotation Equivariance. CVPR (2017)
Saki Shinoda, Daniel E. Worrall, Gabriel J. Brostow
Virtual Adversarial Ladder Networks For Semi-supervised Learning. CoRR (2017)
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. MICCAI (1) (2017)
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow
Interpretable Transformations with Encoder-Decoder Networks. ICCV (2017)
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. CoRR (2017)
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow
Interpretable Transformations with Encoder-Decoder Networks. CoRR (2017)
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow
Harmonic Networks: Deep Translation and Rotation Equivariance. CoRR (2016)
Daniel E. Worrall, Clare M. Wilson, Gabriel J. Brostow
Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks. LABELS/DLMIA@MICCAI (2016)