Syama Sundar Rangapuram
Syama Sundar Rangapuram
Amazon
Verified email at amazon.de
TitleCited byYear
Constrained 1-Spectral Clustering.
SS Rangapuram, M Hein
AISTATS 30, 90, 2012
762012
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
692013
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
652013
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
372018
Constrained fractional set programs and their application in local clustering and community detection
T Bühler, SS Rangapuram, S Setzer, M Hein
arXiv preprint arXiv:1306.3409, 2013
152013
Tight continuous relaxation of the balanced k-cut problem
SS Rangapuram, PK Mudrakarta, M Hein
Advances in Neural Information Processing Systems, 3131-3139, 2014
122014
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
72019
GluonTS: Probabilistic Time Series Models in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
62019
Methods for sparse and low-rank recovery under simplex constraints
P Li, SS Rangapuram, M Slawski
arXiv preprint arXiv:1605.00507, 2016
62016
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
42017
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
32018
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
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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Articles 1–16