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Neural Contextual Anomaly Detection for Time Series


Jul 16, 2021
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus

* Chris and Fran\c{c}ois-Xavier contributed equally 

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A simple and effective predictive resource scaling heuristic for large-scale cloud applications


Aug 03, 2020
Valentin Flunkert, Quentin Rebjock, Joel Castellon, Laurent Callot, Tim Januschowski


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The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models


May 20, 2020
Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas, Jan Gasthaus


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Neural forecasting: Introduction and literature overview


Apr 21, 2020
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle Maddix, Caner Turkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski

* 66 pages, 5 figures 

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GluonTS: Probabilistic Time Series Models in Python


Jun 14, 2019
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang

* ICML Time Series Workshop 2019 

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Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale


Sep 22, 2017
Matthias Seeger, Syama Rangapuram, Yuyang Wang, David Salinas, Jan Gasthaus, Tim Januschowski, Valentin Flunkert


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DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks


Jul 05, 2017
Valentin Flunkert, David Salinas, Jan Gasthaus


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