Valentin Flunkert
Valentin Flunkert
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DeepAR: Probabilistic forecasting with autoregressive recurrent networks
D Salinas, V Flunkert, J Gasthaus, T Januschowski
International journal of forecasting 36 (3), 1181-1191, 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
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
Criteria for classifying forecasting methods
T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ...
International Journal of Forecasting 36 (1), 167-177, 2020
Synchronizing distant nodes: a universal classification of networks
V Flunkert, S Yanchuk, T Dahms, E Schöll
Physical review letters 105 (25), 254101, 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
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
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
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
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
Bayesian intermittent demand forecasting for large inventories
MW Seeger, D Salinas, V Flunkert
Advances in neural information processing systems 29, 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
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 76 (2), 026210, 2007
Bubbling in delay-coupled lasers
V Flunkert, O D’Huys, J Danckaert, I Fischer, E Schöll
Physical Review E 79 (6), 065201, 2009
Gluonts: Probabilistic time series models in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
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
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
Neural contextual anomaly detection for time series
CU Carmona, FX Aubet, V Flunkert, J Gasthaus
arXiv preprint arXiv:2107.07702, 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
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 77 (6), 066207, 2008
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