Konstantinos Benidis

20 papers A* 3A 2Misc 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Flexible Forecasting Stack.
Proc. VLDB Endow.
Tim Januschowski, Yuyang Wang, Jan Gasthaus, Syama Sundar Rangapuram, Caner Türkmen, Jasper Zschiegner, Lorenzo Stella, Michael Bohlke-Schneider, Danielle C. Maddix, Konstantinos Benidis, Alexander Alexandrov, Christos Faloutsos, Sebastian Schelter
2023 J jnl
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
ACM Comput. Surv.
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
2023 J jnl
Middle-mile optimization for next-day delivery.
CoRR
Konstantinos Benidis, Georgios S. Paschos, Martin Groß, George Iosifidis
2023 J jnl
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks.
CoRR
Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram, George Iosifidis, Georgios S. Paschos
2022 A conf
Multivariate Quantile Function Forecaster.
AISTATS
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus
2022 J jnl
Multivariate Quantile Function Forecaster.
CoRR
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus
2021 A* conf
Deep Explicit Duration Switching Models for Time Series.
NeurIPS
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski
2021 J jnl
Deep Explicit Duration Switching Models for Time Series.
CoRR
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski
2021 A* conf
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series.
ICML
Syama Sundar Rangapuram, Lucien D. Werner, Konstantinos Benidis, Pedro Mercado, Jan Gasthaus, Tim Januschowski
2020 J jnl
GluonTS: Probabilistic and Neural Time Series Modeling in Python.
J. Mach. Learn. Res.
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
2020 J jnl
Neural forecasting: Introduction and literature overview.
CoRR
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski
2020 A* conf
Normalizing Kalman Filters for Multivariate Time Series Analysis.
NeurIPS
Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski
2019 J jnl
GluonTS: Probabilistic Time Series Models in Python.
CoRR
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
2019 A conf
Probabilistic Forecasting with Spline Quantile Function RNNs.
AISTATS
Jan Gasthaus, Konstantinos Benidis, Yuyang Wang, Syama Sundar Rangapuram, David Salinas, Valentin Flunkert, Tim Januschowski
2018 J jnl
Optimization Methods for Financial Index Tracking: From Theory to Practice.
Found. Trends Optim.
Konstantinos Benidis, Yiyong Feng, Daniel P. Palomar
2018 J jnl
Sparse Portfolios for High-Dimensional Financial Index Tracking.
IEEE Trans. Signal Process.
Konstantinos Benidis, Yiyong Feng, Daniel P. Palomar
2016 J jnl
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation.
CoRR
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2016 J jnl
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation.
IEEE Trans. Signal Process.
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel P. Palomar
2016 Misc conf
Orthogonal sparse eigenvectors: A procrustes problem.
ICASSP
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2013 — conf
Bidirectional relay communication with additional private message.
SPAWC
Konstantinos Benidis, Rafael F. Schaefer, Holger Boche