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
Michaël DefferrardResearch Scientist, AI Research, QualcommVerified email at qti.qualcomm.com
S osherVerified email at math.ucla.edu
Michael BronsteinDeepMind Professor of AI, University of OxfordVerified email at cs.ox.ac.uk
Patric HagmannProfessor of Radiology, University Hospital Lausanne, SwitzerlandVerified email at chuv.ch
Arthur SzlamDeepMindVerified email at google.com
Vijay Prakash DwivediPhD Student at Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Ron LevieFaculty of Mathematics, Technion – Israel Institute of TechnologyVerified email at technion.ac.il
Dejan SlepčevProfessor of Mathematical Sciences, Carnegie Mellon UniversityVerified email at math.cmu.edu
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Xiaoxin HePhD student, National University of SingaporeVerified email at u.nus.edu
Camille CouprieResearch scientist at Facebook AI ResearchVerified email at esiee.fr
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Lovro VrčekPhD Student, Genome Institute of Singapore, A*STARVerified email at gis.a-star.edu.sg

Xavier Bresson

Assoc Prof of Computer Science, National University of Singapore

Verified email at nus.edu.sg - Homepage

Graph Machine Learning Graph Neural Networks Deep Learning Theory Sparse Convex Optimization Spectral Graph Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convolutional neural networks on graphs with fast localized spectral filtering M Defferrard, X Bresson, P Vandergheynst Advances in neural information processing systems 29, 2016	7805	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	1171	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	786	2010
Structured sequence modeling with graph convolutional recurrent networks Y Seo, M Defferrard, P Vandergheynst, X Bresson Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018	694	2018
Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson Journal of Machine Learning Research (JMLR), 2020	684	2020
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	661	2018
Geometric applications of the split Bregman method: segmentation and surface reconstruction T Goldstein, X Bresson, S Osher Journal of scientific computing 45, 272-293, 2010	583	2010
Geometric matrix completion with recurrent multi-graph neural networks F Monti, M Bronstein, X Bresson Advances in neural information processing systems 30, 2017	566	2017
Fast dual minimization of the vectorial total variation norm and applications to color image processing X Bresson, TF Chan Inverse problems and imaging 2 (4), 455-484, 2008	444	2008
Fma: A dataset for music analysis M Defferrard, K Benzi, P Vandergheynst, X Bresson arXiv preprint arXiv:1612.01840, 2016	400	2016
A generalization of transformer networks to graphs VP Dwivedi, X Bresson arXiv preprint arXiv:2012.09699, 2020	374	2020
Local histogram based segmentation using the Wasserstein distance K Ni, X Bresson, T Chan, S Esedoglu International journal of computer vision 84, 97-111, 2009	303	2009
An efficient graph convolutional network technique for the travelling salesman problem CK Joshi, T Laurent, X Bresson arXiv preprint arXiv:1906.01227, 2019	300	2019
Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017	291	2017
Matrix completion on graphs V Kalofolias, X Bresson, M Bronstein, P Vandergheynst arXiv preprint arXiv:1408.1717, 2014	233	2014
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, 145-162, 2006	223	2006
Completely convex formulation of the Chan-Vese image segmentation model ES Brown, TF Chan, X Bresson International journal of computer vision 98, 103-121, 2012	221	2012
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	174	2013
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	146	2015
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	131	2010

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