Publication list

Bellow is a list of my academic publications with additional links to codes, poster, slides. This information can also be found in my Google Scholar profile.

No.

Title

Year

Type


003

Designing Gabor windows using convex optimization
Nathanael Perraudin, Nicki Hollighaus, Peter L. Sondergaard, Peter Balazs
Elsevier, Applied Mathematics and Computation
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Code

2014

Article


006

Fast Robust PCA on Graphs
Nauman Shahid, Nathanael Perraudin, Vassilis Kalofolias, Pierre Vandergheynst
IEEE Journal of Selected Topics in Signal Processing
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Code

2015

Article


008

Stationary signal processing on graphs
Nathanael Perraudin, Pierre Vandergheynst
IEEE Transactions on Signal Processing
slides
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Code

2016

Article


009

Compressive pca for low-rank matrices on graphs
Nauman Shahid, Nathanael Perraudin, Gilles Puy, Pierre Vandergheynst
IEEE transactions on Signal and Information Processing over Networks
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2016

Article


010

Global and Local Uncertainty Principles for Signals on Graphs
Nathanael Perraudin, Benjamin Ricaud, David Shuman, Pierre Vandergheynst
Cambridge University Press, APSIPA Transactions on Signal and Information Processing
poster
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Code

2016

Article


016

Inpainting of long audio segments with similarity graphs
Nathanael Perraudin, Nicki Hollighaus, Piotr Majdak, Peter Balazs
IEEE/ACM Transactions on Audio, Speech, and Language Processing
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Demo
Code

2018

Article


017

Stationary time-vertex signal processing
Andreas Loukas, Nathanael Perraudin
In review
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Reproducible research
Webpage

2018

Article


018

Large Scale Graph Learning from Smooth Signals
Vassilis Kalofolias, Nathanael Perraudin
Accepted at ICLR 2019, Seventh International Conference on Learning Representations
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2018

Article


020

A Time-Vertex Signal Processing Framework
Francesco Grassi, Andreas Loukas, Nathanael Perraudin, Benjamin Ricaud
IEEE Transactions on Signal Processing
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Reproducible research
Webpage

2017

Article


021

Improving DNN-based music source separation using phase features
Joachim Muth, Stefan Uhlich, Nathanael Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji
Joint Workshop on Machine Learning for Music at ICML, IJCAI/ECAI and AAMAS, July, 201
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2018

Article


023

DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier
In review
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Code

2018

Article


024

Forecasting Time Series with VARMA Recursions on Graphs
Elvin Isufifi, Andreas Loukas, Nathanael Perraudin, Geert Leus
In review
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2018

Article


025

Evaluating GANs via Duality
Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi, Nathanael Perraudin, Thomas Hofmann, Andreas Krause
In review
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2018

Article


026

A context encoder for audio inpainting
Andrés Marafioti, Nathanael Perraudin, Nicki Hollighaus, Piotr Majdak
In review
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Code
Example

2018

Article


014

Towards stationary time-vertex signal processing
Nathanael Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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2016

Conference Paper


001

Gabor dual windows using convex optimization
Nathanael Perraudin, Nicki Hollighaus, Peter L. Sondergaard, Peter Balazs
Proceeedings of the 10th International Conference on Sampling theory and Applications (SAMPTA 2013)
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Code

2013

Conference paper


002

A fast Griffin-Lim algorithm
Nathanael Perraudin, Peter L. Sondergaard, Peter Balazs
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
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Code

2013

Conference paper


007

PCA using Graph Total variation
Nauman Shahid, Nathanael Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Code

2015

Conference paper


013

Tracking Time-Vertex Propagation using Dynamic Graph Wavelets
Francesco Grassi, Nathanael Perraudin, Benjamin Ricaud
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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2017

Conference paper


015

Predicting the evolution of stationary graph signals
Andreas Loukas, Elvin Isufifi, Nathanael Perraudin
2017 51st Asilomar Conference on Signals, Systems, and Computers
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2016

Conference paper


004

The UNLocBoX: A Matlab convex optimization toolbox using proximal splitting methods
Nathanael Perraudin, David Shuman, Gilles Puy, Pierre Vandergheynst
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Website

2013

Technical report


005

Accelerated filtering on graphs using Lanczos method
Ana Susnjara, Nathanael Perraudin, Daniel Kressner, Pierre Vandergheynst
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Code

2015

Technical report


011

GSPBOX: A toolbox for signal processing on graphs
Nathanael Perraudin, Johan Paratte, David Shuman, Lionel Martin, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond
poster
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Website

2016

Technical report


012

Low-Rank Matrices on Graphs: Generalized Recovery & Applications
Nauman Shahid, Nathanael Perraudin, Pierre Vandergheynst
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2016

Technical report


019

Graph-based structures in Data Science: Fundamental limits and applications to Machine Learning
Nathanael Perraudin
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Reproducible research

2017

Thesis