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Konstantinos Benidis

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Solving Recurrent MIPs with Semi-supervised Graph Neural Networks

Feb 20, 2023
Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram, George Iosifidis, Georgios Paschos

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Multivariate Quantile Function Forecaster

Feb 23, 2022
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus

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Deep Explicit Duration Switching Models for Time Series

Oct 26, 2021
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski

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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

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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

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Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation

Feb 12, 2016
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel P. Palomar

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