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nicolas tremblay
nicolas tremblay
CNRS
Preverjeni e-poštni naslov na gipsa-lab.fr - Domača stran
Naslov
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Leto
Random sampling of bandlimited signals on graphs
G Puy, N Tremblay, R Gribonval, P Vandergheynst
Applied and Computational Harmonic Analysis 44 (2), 446-475, 2018
2212018
Graph wavelets for multiscale community mining
N Tremblay, P Borgnat
IEEE Transactions on Signal Processing 62 (20), 5227-5239, 2014
2032014
Compressive spectral clustering
N Tremblay, G Puy, R Gribonval, P Vandergheynst
Proceedings of the 33 rd International Conference on Machine Learning …, 2016
1482016
Strip, bind, and search: a method for identifying abnormal energy consumption in buildings
R Fontugne, J Ortiz, N Tremblay, P Borgnat, P Flandrin, K Fukuda, ...
Proceedings of the 12th international conference on Information processing …, 2013
1152013
Subgraph-based filterbanks for graph signals
N Tremblay, P Borgnat
IEEE Transactions on Signal Processing 64 (15), 3827-3840, 2016
1092016
Design of graph filters and filterbanks
N Tremblay, P Gonçalves, P Borgnat
Cooperative and Graph Signal Processing, 299-324, 2018
1052018
Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs
B Ricaud, P Borgnat, N Tremblay, P Gonçalves, P Vandergheynst
Comptes Rendus. Physique 20 (5), 474-488, 2019
922019
Approximate fast graph Fourier transforms via multilayer sparse approximations
L Le Magoarou, R Gribonval, N Tremblay
IEEE transactions on Signal and Information Processing over Networks 4 (2 …, 2017
762017
Compressive K-means
N Keriven, N Tremblay, Y Traonmilin, R Gribonval
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
722017
Approximating spectral clustering via sampling: a review
N Tremblay, A Loukas
Sampling techniques for supervised or unsupervised tasks, 129-183, 2020
662020
A dynamical network view of Lyon’s Vélo’v shared bicycle system
P Borgnat, C Robardet, P Abry, P Flandrin, JB Rouquier, N Tremblay
Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying …, 2013
602013
Graph sampling with determinantal processes
N Tremblay, PO Amblard, S Barthelmé
2017 25th European signal processing conference (EUSIPCO), 1674-1678, 2017
542017
Multiscale anisotropic texture analysis and classification of photographic prints: Art scholarship meets image processing algorithms
P Abry, SG Roux, H Wendt, P Messier, AG Klein, N Tremblay, P Borgnat, ...
IEEE Signal Processing Magazine 32 (4), 18-27, 2015
502015
Revisiting the bethe-hessian: improved community detection in sparse heterogeneous graphs
L Dall'Amico, R Couillet, N Tremblay
Advances in neural information processing systems 32, 2019
452019
Probing slow dynamics of consolidated granular multicomposite materials by diffuse acoustic wave spectroscopy
N Tremblay, E Larose, V Rossetto
The Journal of the Acoustical Society of America 127 (3), 1239-1243, 2010
452010
Determinantal point processes for coresets
N Tremblay, S Barthelmé, PO Amblard
Journal of Machine Learning Research 20 (168), 1-70, 2019
392019
Accelerated spectral clustering using graph filtering of random signals
N Tremblay, G Puy, P Borgnat, R Gribonval, P Vandergheynst
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
382016
Spatiotemporal reorganization of corticostriatal networks encodes motor skill learning
N Badreddine, G Zalcman, F Appaix, G Becq, N Tremblay, F Saudou, ...
Cell reports 39 (1), 2022
332022
Graph tikhonov regularization and interpolation via random spanning forests
YY Pilavcı, PO Amblard, S Barthelmé, N Tremblay
IEEE transactions on Signal and Information Processing over Networks 7, 359-374, 2021
262021
A unified framework for spectral clustering in sparse graphs
L Dall'Amico, R Couillet, N Tremblay
Journal of Machine Learning Research 22 (217), 1-56, 2021
252021
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