Syama Sundar Rangapuram

Deep State Space Models for Time Series Forecasting

Syama Sundar Rangapuram, Matthias Seeger, Jan Gasthaus et al. · Neural Information Processing Systems · 2018 · 441 citations

Forecasting Methodology, Deep Neural Networks, Engineering +11

GluonTS: Probabilistic and Neural Time Series Modeling in Python

A. Alexandrov, Konstantinos Benidis, Michael Bohlke‐Schneider et al. · Journal of Machine Learning Research · 2020 · 117 citations

Engineering, Machine Learning, Temporal Pattern Recognition +3

Elastic Machine Learning Algorithms in Amazon SageMaker

Edo Liberty, Zohar Karnin, Bing Xiang et al. · 2020 · 100 citations

Artificial Intelligence, Cluster Computing, Engineering +16

Towards realistic team formation in social networks based on densest subgraphs

Syama Sundar Rangapuram, Thomas Bühler, Matthias Hein · 2013 · 84 citations

Mathematical Programming, Engineering, Densest Subgraphs +24

Probabilistic Forecasting with Spline Quantile Function RNNs

Jan Gasthaus, Konstantinos Benidis, Yuyang Wang et al. · 2019 · 83 citations

Intelligent Forecasting, Monotonic Regression Splines, Forecasting Methodology +12