no code implementations • 27 Oct 2022 • Noam Levi, Itay M. Bloch, Marat Freytsis, Tomer Volansky
We introduce Noise Injection Node Regularization (NINR), a method of injecting structured noise into Deep Neural Networks (DNN) during the training stage, resulting in an emergent regularizing effect.
no code implementations • 24 Oct 2022 • Noam Levi, Itay Bloch, Marat Freytsis, Tomer Volansky
We propose a new method to probe the learning mechanism of Deep Neural Networks (DNN) by perturbing the system using Noise Injection Nodes (NINs).
no code implementations • 8 Jul 2019 • Itay M. Bloch, Yonit Hochberg, Eric Kuflik, Tomer Volansky
The noble-alkali comagnetometer, developed in recent years, has been shown to be a very accurate measuring device of anomalous magnetic-like fields.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 2 Mar 2017 • Rouven Essig, Tomer Volansky, Tien-Tien Yu
We study in detail sub-GeV dark matter scattering off electrons in xenon, including the expected electron recoil spectra and annual modulation spectra.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics
no code implementations • 6 Aug 2016 • Itay M. Bloch, Rouven Essig, Kohsaku Tobioka, Tomer Volansky, Tien-Tien Yu
We consider the absorption by bound electrons of dark matter in the form of dark photons and axion-like particles, as well as of dark photons from the Sun, in current and next-generation direct detection experiments.
High Energy Physics - Phenomenology
