340 citations · 1.4k across the 15 of their papers we have counts for
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astro-ph.IM2018★ 5 cited
Towards online triggering for the radio detection of air showers using deep neural networks
Florian Führer, Tom Charnock, Anne Zilles +1
The detection of air-shower events via radio signals requires to develop a trigger algorithm for a clean discrimination between signal and background events in order to reduce the…
astro-ph.IM2018★ 113 cited
Automatic physical inference with information maximising neural networks
Tom Charnock, Guilhem Lavaux, Benjamin D. Wandelt
Compressing large data sets to a manageable number of summaries that are informative about the underlying parameters vastly simplifies both frequentist and Bayesian inference. When…
astro-ph.IM2016★ 108 cited
Deep Recurrent Neural Networks for Supernovae Classification
Tom Charnock, Adam Moss
We apply deep recurrent neural networks, which are capable of learning complex sequential information, to classify supernovae\footnote{Code available at \href{https://github.com/ad…