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Evaluating GANs via Duality

Nov 13, 2018
Paulina Grnarova, Kfir Y Levy, Aurelien Lucchi, Nathanael Perraudin, Thomas Hofmann, Andreas Krause


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Improving DNN-based Music Source Separation using Phase Features

Jul 16, 2018
Joachim Muth, Stefan Uhlich, Nathanael Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji

* 7 pages, 9 figures, Joint Workshop on Machine Learning for Music at ICML, IJCAI/ECAI and AAMAS, 2018 

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Inpainting of long audio segments with similarity graphs

Feb 23, 2018
Nathanael Perraudin, Nicki Holighaus, Piotr Majdak, Peter Balazs


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UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods

Dec 27, 2016
Nathanael Perraudin, Vassilis Kalofolias, David Shuman, Pierre Vandergheynst

* Draft 

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Compressive PCA for Low-Rank Matrices on Graphs

Oct 04, 2016
Nauman Shahid, Nathanael Perraudin, Gilles Puy, Pierre Vandergheynst


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Predicting the evolution of stationary graph signals

Jul 12, 2016
Andreas Loukas, Nathanael Perraudin

* 6 pages, 3 figures 

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Towards stationary time-vertex signal processing

Jun 22, 2016
Nathanael Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst

* 7 pages, 3 figures 

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Tracking Time-Vertex Propagation using Dynamic Graph Wavelets

Jun 21, 2016
Francesco Grassi, Nathanael Perraudin, Benjamin Ricaud


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Low-Rank Matrices on Graphs: Generalized Recovery & Applications

May 25, 2016
Nauman Shahid, Nathanael Perraudin, Pierre Vandergheynst


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Global and Local Uncertainty Principles for Signals on Graphs

Mar 10, 2016
Nathanael Perraudin, Benjamin Ricaud, David Shuman, Pierre Vandergheynst


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Fast Robust PCA on Graphs

Jan 25, 2016
Nauman Shahid, Nathanael Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst


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