Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets

2 February 2017

Papers citing "Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets"

6 / 6 papers shown

Title
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets Maciej Wielgosz A. Skoczeń M. Mertik 40 53 0 18 Nov 2016
Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics Farhad Pouladi Hojjat Salehinejad Amir Mohammad Gilani 43 32 0 09 Nov 2015
A Critical Review of Recurrent Neural Networks for Sequence Learning Zachary Chase Lipton John Berkowitz Charles Elkan 108 2,348 0 29 May 2015
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 130 5,309 0 13 Mar 2015
Gated Feedback Recurrent Neural Networks Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 72 830 0 09 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 601 12,741 0 11 Dec 2014