Search Results for author: Oskar Triebe

Found 2 papers, 2 papers with code

NeuralProphet: Explainable Forecasting at Scale

1 code implementation29 Nov 2021 Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal

NeuralProphet is a hybrid forecasting framework based on PyTorch and trained with standard deep learning methods, making it easy for developers to extend the framework.

Decision Making Time Series

AR-Net: A simple Auto-Regressive Neural Network for time-series

2 code implementations27 Nov 2019 Oskar Triebe, Nikolay Laptev, Ram Rajagopal

In this paper we present a new framework for time-series modeling that combines the best of traditional statistical models and neural networks.

Time Series

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