Nathanael Perraudin
Nathanael Perraudin
ETH Zürich
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Zitiert von
Zitiert von
GSPBOX: A toolbox for signal processing on graphs
N Perraudin, J Paratte, D Shuman, L Martin, V Kalofolias, ...
arXiv preprint arXiv:1408.5781, 2014
Stationary signal processing on graphs
N Perraudin, P Vandergheynst
IEEE Transactions on Signal Processing 65 (13), 3462-3477, 2017
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
UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods
N Perraudin, V Kalofolias, D Shuman, P Vandergheynst
arXiv preprint arXiv:1402.0779, 2014
A fast Griffin-Lim algorithm
N Perraudin, P Balazs, PL Sondergaard
2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013
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
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
Accelerated filtering on graphs using lanczos method
A Susnjara, N Perraudin, D Kressner, P Vandergheynst
arXiv preprint arXiv:1509.04537, 2015
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
Towards stationary time-vertex signal processing
N Perraudin, A Loukas, F Grassi, P Vandergheynst
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Stationary time-vertex signal processing
A Loukas, N Perraudin
EURASIP Journal on Advances in Signal Processing 2019 (1), 36, 2019
Designing Gabor windows using convex optimization
N Perraudin, N Holighaus, PL Søndergaard, P Balazs
Applied Mathematics and Computation 330, 266-287, 2018
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
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
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
Large scale graph learning from smooth signals
V Kalofolias, N Perraudin
ICLR, International Conference on Learning Representations, 2019
Improving DNN-based music source separation using phase features
J Muth, S Uhlich, N Perraudin, T Kemp, F Cardinaux, Y Mitsufuji
Joint Workshop on Machine Learning for Music at ICML, IJCAI/ECAI and AAMAS, 2018
Compressive pca for low-rank matrices on graphs
N Shahid, N Perraudin, G Puy, P Vandergheynst
IEEE transactions on Signal and Information Processing over Networks 3 (4 …, 2016
Gabor dual windows using convex optimization
N Perraudin, N Holighaus, P Søndergaard, P Balazs
10th international conference on Sampling Theory and Applications (SampTA 2013), 2013
Predicting the evolution of stationary graph signals
A Loukas, E Isufi, N Perraudin
2017 51st Asilomar Conference on Signals, Systems, and Computers, 60-64, 2017
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