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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

* 66 pages, 5 figures 

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Methods for Sparse and Low-Rank Recovery under Simplex Constraints


May 02, 2016
Ping Li, Syama Sundar Rangapuram, Martin Slawski


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Constrained 1-Spectral Clustering


May 24, 2015
Syama Sundar Rangapuram, Matthias Hein

* Long version of paper accepted at AISTATS 2012 

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Tight Continuous Relaxation of the Balanced $k$-Cut Problem


May 24, 2015
Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein

* Long version of paper accepted at NIPS 2014 

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The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited


Dec 18, 2013
Matthias Hein, Simon Setzer, Leonardo Jost, Syama Sundar Rangapuram

* Long version of paper accepted at NIPS 2013 

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Constrained fractional set programs and their application in local clustering and community detection


Jun 14, 2013
Thomas Bühler, Syama Sundar Rangapuram, Simon Setzer, Matthias Hein

* Long version of paper accepted at ICML 2013 

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