Daniel E. Worrall | DeepAI

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∙ 09/01/2022

Learning Perturbations for Soft-Output Linear MIMO Demappers

Tree-based demappers for multiple-input multiple-output (MIMO) detection...

0 Daniel E. Worrall, et al. ∙

∙ 03/04/2022

Neural Simulated Annealing

Simulated annealing (SA) is a stochastic global optimisation technique a...

0 Alvaro H. C. Correia, et al. ∙

∙ 02/15/2022

Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Neural networks are increasingly being used to solve partial differentia...

2 Johannes Brandstetter, et al. ∙

∙ 06/30/2020

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

This paper introduces MDP homomorphic networks for deep reinforcement le...

1 Elise van der Pol, et al. ∙

∙ 06/18/2020

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

We introduce the SE(3)-Transformer, a variant of the self-attention modu...

1 Fabian B. Fuchs, et al. ∙

∙ 11/18/2019

Affine Self Convolution

Attention mechanisms, and most prominently self-attention, are a powerfu...

0 Nichita Diaconu, et al. ∙

∙ 05/28/2019

Deep Scale-spaces: Equivariance Over Scale

We introduce deep scale-spaces (DSS), a generalization of convolutional ...

5 Daniel E. Worrall, et al. ∙

∙ 05/12/2019

Learning to Convolve: A Generalized Weight-Tying Approach

Recent work (Cohen & Welling, 2016) has shown that generalizations of co...

0 Nichita Diaconu, et al. ∙

∙ 02/07/2019

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

The Pix2pix and CycleGAN losses have vastly improved the qualitative and...

0 Tycho F. A. van der Ouderaa, et al. ∙

∙ 11/20/2017

Virtual Adversarial Ladder Networks For Semi-supervised Learning

Semi-supervised learning (SSL) partially circumvents the high cost of la...

0 Saki Shinoda, et al. ∙

∙ 10/19/2017

Interpretable Transformations with Encoder-Decoder Networks

Deep feature spaces have the capacity to encode complex transformations ...

0 Daniel E. Worrall, et al. ∙

∙ 12/14/2016

Harmonic Networks: Deep Translation and Rotation Equivariance

Translating or rotating an input image should not affect the results of ...

0 Daniel E. Worrall, et al. ∙

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