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Nathanael Perraudin
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GSPBOX: A toolbox for signal processing on graphs
N Perraudin, J Paratte, D Shuman, L Martin, V Kalofolias, ...
arXiv preprint arXiv:1408.5781, 2014
2672014
Stationary signal processing on graphs
N Perraudin, P Vandergheynst
IEEE Transactions on Signal Processing 65 (13), 3462-3477, 2017
1912017
DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications
N Perraudin, M Defferrard, T Kacprzak, R Sgier
Astronomy and Computing 27, 130-146, 2019
1332019
A fast Griffin-Lim algorithm
N Perraudin, P Balazs, PL Sondergaard
2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013
1322013
Fast robust pca on graphs
N Shahid, N Perraudin, V Kalofolias, P Vandergheynst
IEEE Journal of Selected Topics in Signal Processing 10 (4), 740-756, 2016
1172016
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
F Grassi, A Loukas, N Perraudin, B Ricaud
IEEE Transactions on Signal Processing 66 (3), 817 - 829, 2017
1152017
UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods
N Perraudin, V Kalofolias, D Shuman, P Vandergheynst
arXiv preprint arXiv:1402.0779, 2014
762014
Global and local uncertainty principles for signals on graphs
N Perraudin, B Ricaud, D Shuman, P Vandergheynst
APSIPA Transactions on Signal and Information 7, 2018
712018
Forecasting time series with varma recursions on graphs
E Isufi, A Loukas, N Perraudin, G Leus
IEEE Transactions on Signal Processing 67 (18), 4870-4885, 2019
662019
Adversarial Generation of Time-Frequency Features with application in audio synthesis
A Marafioti, N Holighaus, N Perraudin, P Majdak
36th International Conference on Machine Learning (ICML) 97, 4352--4362, 2019
612019
Accelerated filtering on graphs using lanczos method
A Susnjara, N Perraudin, D Kressner, P Vandergheynst
arXiv preprint arXiv:1509.04537, 2015
572015
Large scale graph learning from smooth signals
V Kalofolias, N Perraudin
ICLR, International Conference on Learning Representations, 2019
552019
A context encoder for audio inpainting
A Marafioti, N Perraudin, N Holighaus, P Majdak
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
462019
DeepSphere: a graph-based spherical CNN
M Defferrard, M Milani, F Gusset, N Perraudin
Eighth International Conference on Learning Representations (ICLR), 2020
432020
A domain agnostic measure for monitoring and evaluating GANs
P Grnarova, KY Levy, A Lucchi, N Perraudin, I Goodfellow, T Hofmann, ...
Advances in Neural Information Processing Systems 32, 2019
40*2019
Inpainting of long audio segments with similarity graphs
N Perraudin, N Holighaus, P Majdak, P Balazs
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018
372018
Pygsp: Graph signal processing in python
M Defferrard, L Martin, R Pena, N Perraudin
URL https://github. com/epfl-lts2/pygsp, 2017
362017
Towards stationary time-vertex signal processing
N Perraudin, A Loukas, F Grassi, P Vandergheynst
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
362017
Stationary time-vertex signal processing
A Loukas, N Perraudin
EURASIP journal on advances in signal processing 2019 (1), 1-19, 2019
342019
Designing Gabor windows using convex optimization
N Perraudin, N Holighaus, PL Søndergaard, P Balazs
Applied Mathematics and Computation 330, 266-287, 2018
26*2018
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