4 citations · 9 across the 12 of their papers we have counts for
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cs.LG2022
Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity
Bhumika Mistry, Katayoun Farrahi, Jonathon Hare
Multilayer Perceptrons struggle to learn certain simple arithmetic tasks. Specialist neural modules for arithmetic can outperform classical architectures with gains in extrapolatio…
cs.AR2022★ 3 cited
Dynamic DNNs Meet Runtime Resource Management on Mobile and Embedded Platforms
Lei Xun, Bashir M. Al-Hashimi, Jonathon Hare +1
Deep neural network (DNN) inference is increasingly being executed on mobile and embedded platforms due to low latency and better privacy. However, efficient deployment on these pl…
cs.RO2022
Physically Embodied Deep Image Optimisation
Daniela Mihai, Jonathon Hare
Physical sketches are created by learning programs to control a drawing robot. A differentiable rasteriser is used to optimise sets of drawing strokes to match an input image, usin…