Xavier Bresson

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Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Thomas LaurentProfessor of Mathematics, Loyola Marymount UniversityVerified email at lmu.edu
T F ChanPresident, King Abdullah University of Science & TechnologyVerified email at kaust.edu.sa
S osherVerified email at math.ucla.edu
Michael BronsteinDeepMind Professor of AI, University of Oxford / Head Graph ML Research, TwitterVerified email at cs.ox.ac.uk
Michaël DefferrardPhD student, LTS2, EPFLVerified email at epfl.ch
Patric HagmannProfessor of Radiology, University Hospital Lausanne, SwitzerlandVerified email at chuv.ch
James von BrechtAssistant ProfessorVerified email at csulb.edu
Federico MontiUniversità della Svizzera italianaVerified email at usi.ch
Selim EsedogluProfessor of Mathematics, University of MichiganVerified email at umich.edu
Arthur SzlamFacebook AI ResearchVerified email at fb.com
Tom GoldsteinPerotto Associate Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Virginia EstellersMicrosoftVerified email at microsoft.com
David UminskyUniversity of ChicagoVerified email at uchicago.edu
Ron LevieFaculty of Mathematics, Technion – Israel Institute of TechnologyVerified email at technion.ac.il
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Xiaoqun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Martin BurgerFriedrich-Alexander Universität Erlangen-NürnbergVerified email at fau.de
Dejan SlepčevProfessor of Mathematical Sciences, Carnegie Mellon UniversityVerified email at math.cmu.edu
Nicolás García TrillosAssistant Professor, Department of Statistics, University of Wisconsin-MadisonVerified email at wisc.edu

Xavier Bresson

Prof of Computer Science, NUS, Singapore

Verified email at nus.edu.sg - Homepage

Graph Deep Learning Graph Neural Networks Data Science Sparse Convex Optimization Spectral Graph Theory


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Convolutional neural networks on graphs with fast localized spectral filtering M Defferrard, X Bresson, P Vandergheynst Advances in neural information processing systems 29, 2016	5221	2016
Fast global minimization of the active contour/snake model X Bresson, S Esedoḡlu, P Vandergheynst, JP Thiran, S Osher Journal of Mathematical Imaging and vision 28 (2), 151-167, 2007	1103	2007
Bregmanized nonlocal regularization for deconvolution and sparse reconstruction X Zhang, M Burger, X Bresson, S Osher SIAM Journal on Imaging Sciences 3 (3), 253-276, 2010	758	2010
Geometric applications of the split Bregman method: segmentation and surface reconstruction T Goldstein, X Bresson, S Osher Journal of scientific computing 45 (1), 272-293, 2010	560	2010
Cayleynets: Graph convolutional neural networks with complex rational spectral filters R Levie, F Monti, X Bresson, MM Bronstein IEEE Transactions on Signal Processing 67 (1), 97-109, 2018	440	2018
Fast dual minimization of the vectorial total variation norm and applications to color image processing X Bresson, TF Chan Inverse Problems & Imaging 2 (4), 455, 2008	428	2008
Geometric matrix completion with recurrent multi-graph neural networks F Monti, M Bronstein, X Bresson Advances in neural information processing systems 30, 2017	417	2017
Structured sequence modeling with graph convolutional recurrent networks Y Seo, M Defferrard, P Vandergheynst, X Bresson International conference on neural information processing, 362-373, 2018	384	2018
Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson arXiv preprint arXiv:2003.00982, 2020	368	2020
Local histogram based segmentation using the Wasserstein distance K Ni, X Bresson, T Chan, S Esedoglu International journal of computer vision 84 (1), 97-111, 2009	281	2009
Fma: A dataset for music analysis M Defferrard, K Benzi, P Vandergheynst, X Bresson arXiv preprint arXiv:1612.01840, 2016	274	2016
A variational model for object segmentation using boundary information and shape prior driven by the Mumford-Shah functional X Bresson, P Vandergheynst, JP Thiran International Journal of Computer Vision 68 (2), 145-162, 2006	215	2006
Completely convex formulation of the Chan-Vese image segmentation model ES Brown, TF Chan, X Bresson International journal of computer vision 98 (1), 103-121, 2012	210	2012
Matrix completion on graphs V Kalofolias, X Bresson, M Bronstein, P Vandergheynst arXiv preprint arXiv:1408.1717, 2014	199	2014
Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017	171	2017
An efficient graph convolutional network technique for the travelling salesman problem CK Joshi, T Laurent, X Bresson arXiv preprint arXiv:1906.01227, 2019	152	2019
Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge S Rueda, S Fathima, CL Knight, M Yaqub, AT Papageorghiou, ... IEEE Transactions on medical imaging 33 (4), 797-813, 2013	137	2013
Nonlocal Mumford-Shah regularizers for color image restoration M Jung, X Bresson, TF Chan, LA Vese IEEE transactions on image processing 20 (6), 1583-1598, 2010	127	2010
Robust principal component analysis on graphs N Shahid, V Kalofolias, X Bresson, M Bronstein, P Vandergheynst Proceedings of the IEEE International Conference on Computer Vision, 2812-2820, 2015	123	2015
Total variation, cheeger cuts A Szlam, X Bresson ICML, 2010	113	2010

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