Research

Publications

Also find my articles on Google Scholar.

2025
2025

Discovery of Unstable Singularities

Y Wang, M Bennani, J Martens, S Racanière, S Blackwell, A Matthews, DE Worrall, et al.

arXiv Preprint

2024
2024

Spectral Shaping for Neural PDE Surrogates

DE Worrall, M Cranmer, JN Kutz, P Battaglia

Preprint

2023
2023

Neural Simulated Annealing

Alvaro H.C. Correia, Daniel E. Worrall, Roberto Bondesan

AISTATS 2023

2022
2022

Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Johannes Brandstetter, Max Welling, Daniel E. Worrall

ICML 2022

2022

Message Passing Neural PDE Solvers

Johannes Brandstetter, Daniel E. Worrall, Max Welling

ICLR 2022

2022

Learning Perturbations for Soft-Output Linear MIMO Demappers

Daniel E. Worrall, M Peschl, A Behboodi, R Bondesan

IEEE GLOBECOM 2022

2021
2021

Uncertainty Modelling in Deep Learning for Safer Neuroimage Enhancement: Demonstration in Diffusion MRI

Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

NeuroImage, Volume 225

2020
2020

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling

NeurIPS 2020

2020

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling

NeurIPS 2020

2019
2019

Learning Likelihoods with Conditional Normalizing Flows

Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom, Max Welling

arXiv Preprint

2019

Affine Self Convolution

Nichita Diaconu, Daniel E. Worrall

arXiv Preprint

2019

Supervised Uncertainty Quantification for Segmentation with Multiple Annotations

Shi Hu, Daniel Worrall, Stefan Knegt, Bas Veeling, Henkjan Huisman, Max Welling

MICCAI 2019

2019

Deep Scale-spaces: Equivariance Over Scale

Daniel Worrall, Max Welling

NeurIPS 2019

2019

Reversible GANs for Memory-efficient Image-to-Image Translation

Tycho F. A. van der Ouderaa, Daniel E. Worrall

CVPR 2019

2019

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

arXiv Preprint

2019

Learning to Convolve: A Generalized Weight-Tying Approach

Nichita Diaconu, Daniel E. Worrall

ICML 2019

2018
2018

Witnessing Atrocities: Quantifying Villages Destruction in Darfur with Crowdsourcing and Transfer Learning

Julien Cornebise, Daniel E. Worrall, Micah Farfour, Milena Marin

NeurIPS AI for Social Good Workshop 2018

2018

CubeNet: Equivariance to 3D Rotation and Translation

Daniel E. Worrall, Gabriel J. Brostow

ECCV 2018

2017
2017

Virtual Adversarial Ladder Networks For Semi-supervised Learning

Saki Shinoda, Daniel E. Worrall, Gabriel J. Brostow

arXiv Preprint

2017

Interpretable Transformations with Encoder-Decoder Networks

Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow

ICCV 2017

2017

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution

Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

MICCAI 2017

2017

Harmonic Networks: Deep Translation and Rotation Equivariance

Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow

CVPR 2017

2016
2016

Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks

Daniel E. Worrall, Clare M. Wilson, Gabriel J. Brostow

LABELS Workshop, MICCAI 2016

Intellectual Property

Patents

2025

Lattice Reduction-aided Perturbed Additive Demapper for Multiple-input Multiple-output Signal Detection

M Peschl, DE Worrall, A Behboodi, R Bondesan, P Sadeghi, et al.

US Patent 12,199,705

2024

Physical Environment Interaction with an Equivariant Policy

M Herman, M Welling, H Van Hoof, E van der Pol, D Worrall, et al.

US Patent 12,100,198