| GSPBOX: A toolbox for signal processing on graphs N Perraudin, J Paratte, D Shuman, L Martin, V Kalofolias, ... arXiv preprint arXiv:1408.5781, 2014 | 127 | 2014 |
| Stationary signal processing on graphs N Perraudin, P Vandergheynst IEEE Transactions on Signal Processing 65 (13), 3462-3477, 2017 | 105 | 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 | 58 | 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 | 52 | 2014 |
| A fast Griffin-Lim algorithm N Perraudin, P Balazs, PL Sondergaard 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 40 | 2013 |
| Accelerated filtering on graphs using lanczos method A Susnjara, N Perraudin, D Kressner, P Vandergheynst arXiv preprint arXiv:1509.04537, 2015 | 32 | 2015 |
| 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 | 31 | 2018 |
| 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 | 20* | 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 | 17 | 2017 |
| Designing Gabor windows using convex optimization N Perraudin, N Holighaus, PL Søndergaard, P Balazs Applied Mathematics and Computation 330, 266-287, 2018 | 14* | 2018 |
| Stationary time-vertex signal processing A Loukas, N Perraudin arXiv preprint arXiv:1611.00255, 2016 | 13 | 2016 |
| 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 | 11 | 2019 |
| 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 | 9 | 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 | 9 | 2013 |
| 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 | 8* | 2018 |
| Tracking time-vertex propagation using dynamic graph wavelets F Grassi, N Perraudin, B Ricaud 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 8 | 2016 |
| Pca using graph total variation N Shahid, N Perraudin, V Kalofolias, B Ricaud, P Vandergheynst 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 7 | 2016 |
| Forecasting time series with varma recursions on graphs E Isufi, A Loukas, N Perraudin, G Leus IEEE Transactions on Signal Processing, 2019 | 5 | 2019 |
| 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 | 5 | 2017 |
| Large scale graph learning from smooth signals V Kalofolias, N Perraudin ICLR, International Conference on Learning Representations, 2019 | 4 | 2019 |
Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)Bestätigte E-Mail-Adresse bei epfl.ch