DeepAR: Probabilistic forecasting with autoregressive recurrent networks D Salinas, V Flunkert, J Gasthaus, T Januschowski International journal of forecasting 36 (3), 1181-1191, 2020 | 1963 | 2020 |

Gluonts: Probabilistic and neural time series modeling in python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... Journal of Machine Learning Research 21 (116), 1-6, 2020 | 226 | 2020 |

Refuting the odd-number limitation of time-delayed feedback control B Fiedler, V Flunkert, M Georgi, P Hövel, E Schöll Physical Review Letters 98 (11), 114101, 2007 | 225 | 2007 |

Criteria for classifying forecasting methods T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ... International Journal of Forecasting 36 (1), 167-177, 2020 | 201 | 2020 |

Synchronizing distant nodes: a universal classification of networks V Flunkert, S Yanchuk, T Dahms, E Schöll Physical review letters 105 (25), 254101, 2010 | 186 | 2010 |

Probabilistic forecasting with spline quantile function RNNs J Gasthaus, K Benidis, Y Wang, SS Rangapuram, D Salinas, V Flunkert, ... The 22nd international conference on artificial intelligence and statistics …, 2019 | 171 | 2019 |

Probabilistic demand forecasting at scale JH Böse, V Flunkert, J Gasthaus, T Januschowski, D Lange, D Salinas, ... Proceedings of the VLDB Endowment 10 (12), 1694-1705, 2017 | 156 | 2017 |

Strong and weak chaos in nonlinear networks with time-delayed couplings S Heiligenthal, T Dahms, S Yanchuk, T Jüngling, V Flunkert, I Kanter, ... Physical review letters 107 (23), 234102, 2011 | 143 | 2011 |

Deep learning for time series forecasting: Tutorial and literature survey K Benidis, SS Rangapuram, V Flunkert, Y Wang, D Maddix, C Turkmen, ... ACM Computing Surveys 55 (6), 1-36, 2022 | 137 | 2022 |

Elastic machine learning algorithms in amazon sagemaker E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 134 | 2020 |

Bayesian intermittent demand forecasting for large inventories MW Seeger, D Salinas, V Flunkert Advances in neural information processing systems 29, 2016 | 121 | 2016 |

Neural forecasting: Introduction and literature overview K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ... arXiv preprint arXiv:2004.10240 6, 2020 | 119 | 2020 |

Beyond the odd number limitation: A bifurcation analysis of time-delayed feedback control W Just, B Fiedler, M Georgi, V Flunkert, P Hövel, E Schöll Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 76 (2 …, 2007 | 113 | 2007 |

Gluonts: Probabilistic time series models in python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... arXiv preprint arXiv:1906.05264, 2019 | 105 | 2019 |

Bubbling in delay-coupled lasers V Flunkert, O D’Huys, J Danckaert, I Fischer, E Schöll Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (6 …, 2009 | 105 | 2009 |

Symmetry-breaking transitions in networks of nonlinear circuit elements M Heinrich, T Dahms, V Flunkert, SW Teitsworth, E Schöll New Journal of Physics 12 (11), 113030, 2010 | 83 | 2010 |

Dynamics, control and information in delay-coupled systems: an overview V Flunkert, I Fischer, E Schöll Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013 | 69 | 2013 |

Neural contextual anomaly detection for time series CU Carmona, FX Aubet, V Flunkert, J Gasthaus arXiv preprint arXiv:2107.07702, 2021 | 65 | 2021 |

Adaptive tuning of feedback gain in time-delayed feedback control J Lehnert, P Hövel, V Flunkert, PY Guzenko, AL Fradkov, E Schöll Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (4), 2011 | 65 | 2011 |

Delay stabilization of rotating waves near fold bifurcation and application to all-optical control of a semiconductor laser B Fiedler, S Yanchuk, V Flunkert, P Hövel, HJ Wünsche, E Schöll Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 77 (6 …, 2008 | 62 | 2008 |