16 citations · 20 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography
Emilien Valat, Katayoun Farrahi, Thomas Blumensath
We address the problem of reconstructing X-Ray tomographic images from scarce measurements by interpolating missing acquisitions using a self-supervised approach. To do so, we trai…
Modelling nonlinear dependencies in the latent space of inverse scattering
Juliusz Ziomek, Katayoun Farrahi
The problem of inverse scattering proposed by Angles and Mallat in 2018, concerns training a deep neural network to invert the scattering transform applied to an image. After such…
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors
Emilien Valat, Katayoun Farrahi, Thomas Blumensath
Compensating scarce measurements by inferring them from computational models is a way to address ill-posed inverse problems. We tackle Limited Angle Tomography by completing the se…