1 citations · 1 across the 4 of their papers we have counts for
4 papers
Shuffling Recurrent Neural Networks
Michael Rotman, Lior Wolf
We propose a novel recurrent neural network model, where the hidden state is obtained by permuting the vector elements of the previous hidden state and adding the o…
A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans
Michael Rotman, Rafi Brada, Israel Beniaminy +3
Motion artefacts created by patient motion during an MRI scan occur frequently in practice, often rendering the scans clinically unusable and requiring a re-scan. While many method…
Effectively using unsupervised machine learning in next generation astronomical surveys
Itamar Reis, Michael Rotman, Dovi Poznanski +2
In recent years many works have shown that unsupervised Machine Learning (ML) can help detect unusual objects and uncover trends in large astronomical datasets, but a few challenge…
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
Michael Rotman, Lior Wolf
The manual design of analog circuits is a tedious task of parameter tuning that requires hours of work by human experts. In this work, we make a significant step towards a fully au…