3 citations · 5 across the 10 of their papers we have counts for
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astro-ph.IM2019★ 1 cited
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…
cs.LG2019
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…