Syama Sundar Rangapuram
Syama Sundar Rangapuram
Amazon
Verified email at amazon.de
Title
Cited by
Cited by
Year
Constrained 1-Spectral Clustering.
SS Rangapuram, M Hein
AISTATS 30, 90, 2012
892012
Towards realistic team formation in social networks based on densest subgraphs
SS Rangapuram, T Bühler, M Hein
Proceedings of the 22nd international conference on World Wide Web, 1077-1088, 2013
742013
The total variation on hypergraphs-learning on hypergraphs revisited
M Hein, S Setzer, L Jost, SS Rangapuram
Advances in Neural Information Processing Systems, 2427-2435, 2013
742013
Deep state space models for time series forecasting
SS Rangapuram, MW Seeger, J Gasthaus, L Stella, Y Wang, ...
Advances in neural information processing systems, 7785-7794, 2018
682018
Probabilistic forecasting with spline quantile function rnns
J Gasthaus, K Benidis, Y Wang, SS Rangapuram, D Salinas, V Flunkert, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
182019
Constrained fractional set programs and their application in local clustering and community detection
T Bühler, SS Rangapuram, S Setzer, M Hein
International Conference on Machine Learning, 624-632, 2013
162013
Gluonts: Probabilistic time series models in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
152019
Tight continuous relaxation of the balanced k-cut problem
SS Rangapuram, PK Mudrakarta, M Hein
Advances in Neural Information Processing Systems, 3131-3139, 2014
142014
Methods for sparse and low-rank recovery under simplex constraints
P Li, SS Rangapuram, M Slawski
arXiv preprint arXiv:1605.00507, 2016
102016
Approximate bayesian inference in linear state space models for intermittent demand forecasting at scale
M Seeger, S Rangapuram, Y Wang, D Salinas, J Gasthaus, ...
arXiv preprint arXiv:1709.07638, 2017
62017
Elastic Machine Learning Algorithms in Amazon SageMaker
E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ...
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
52020
GluonTS: Probabilistic Time Series Modeling in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
52019
Deep Learning for Forecasting: Current Trends and Challenges.
T Januschowski, J Gasthaus, Y Wang, SS Rangapuram, L Callot
Foresight: The International Journal of Applied Forecasting, 2018
52018
Neural forecasting: Introduction and literature overview
K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ...
arXiv preprint arXiv:2004.10240, 2020
32020
Deep learning for forecasting
T Januschowski, J Gasthaus, Y Wang, SS Rangapuram, L Callot
Foresight: The International Journal of Applied Forecasting, 35-41, 2018
32018
GluonTS: Probabilistic and Neural Time Series Modeling in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
Journal of Machine Learning Research 21 (116), 1-6, 2020
2020
Graph-based methods for unsupervised and semi-supervised data analysis
SS Rangapuram
2016
Neural time series models with GluonTS Time Series Workshop ICML 2019
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
Statistica Sinica Preprint No: SS-2016-0220
SS Rangapuram, M Slawski
S1 Empirical results
P Li, SS Rangapuram, M Slawski
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