265 citations · 1.7k across the 34 of their papers we have counts for
35 papers
Anomaly Detection in Presence of Irrelevant Features
Marat Freytsis, Maxim Perelstein, Yik Chuen San
Experiments at particle colliders are the primary source of insight into physics at microscopic scales. Searches at these facilities often rely on optimization of analyses targetin…
Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows
David Shih, Marat Freytsis, Stephen R. Taylor +2
Pulsar timing arrays (PTAs) perform Bayesian posterior inference with expensive MCMC methods. Given a dataset of ~10-100 pulsars and O(10^3) timing residuals each, producing a post…
A new basis for Hamiltonian SU(2) simulations
Christian W. Bauer, Irian D'Andrea, Marat Freytsis +1
Due to rapidly improving quantum computing hardware, Hamiltonian simulations of relativistic lattice field theories have seen a resurgence of attention. This computational tool req…
Toward extracting from without binning
Jeffrey V. Backus, Marat Freytsis, Yuval Grossman +2
transitions are known to provide theoretically clean information about the CKM angle , with the most precise available methods exploiting the cascade decay of…
Noise Injection Node Regularization for Robust Learning
Noam Levi, Itay M. Bloch, Marat Freytsis +1
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…
Noise Injection as a Probe of Deep Learning Dynamics
Noam Levi, Itay Bloch, Marat Freytsis +1
We propose a new method to probe the learning mechanism of Deep Neural Networks (DNN) by perturbing the system using Noise Injection Nodes (NINs). These nodes inject uncorrelated n…