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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...
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03/04/2022
Neural Simulated Annealing
Simulated annealing (SA) is a stochastic global optimisation technique a...
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02/15/2022
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Neural networks are increasingly being used to solve partial differentia...
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06/30/2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
This paper introduces MDP homomorphic networks for deep reinforcement le...
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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...
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11/18/2019
Affine Self Convolution
Attention mechanisms, and most prominently self-attention, are a powerfu...
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05/28/2019
Deep Scale-spaces: Equivariance Over Scale
We introduce deep scale-spaces (DSS), a generalization of convolutional ...
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05/12/2019
Learning to Convolve: A Generalized Weight-Tying Approach
Recent work (Cohen & Welling, 2016) has shown that generalizations of co...
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02/07/2019
Reversible GANs for Memory-efficient Image-to-Image Translation
The Pix2pix and CycleGAN losses have vastly improved the qualitative and...
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11/20/2017
Virtual Adversarial Ladder Networks For Semi-supervised Learning
Semi-supervised learning (SSL) partially circumvents the high cost of la...
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10/19/2017
Interpretable Transformations with Encoder-Decoder Networks
Deep feature spaces have the capacity to encode complex transformations ...
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12/14/2016