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
Michaël DefferrardResearch Scientist, AI Research, QualcommVerified email at qti.qualcomm.com
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAVerified email at cs.ox.ac.uk
T F ChanPresident, King Abdullah University of Science & TechnologyVerified email at kaust.edu.sa
S osherVerified email at math.ucla.edu
Patric HagmannProfessor of Radiology, University Hospital Lausanne, SwitzerlandVerified email at chuv.ch
Vijay Prakash DwivediPostdoc, Stanford UniversityVerified email at stanford.edu
Arthur SzlamDeepMindVerified email at google.com
Xiaoxin HePhD student, National University of SingaporeVerified email at u.nus.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Yann LeCunChief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Ron LevieFaculty of Mathematics, Technion – Israel Institute of TechnologyVerified email at technion.ac.il
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
Yang YouPresidential Young Professor, 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
Victor Kai WangNational University of Singapore (Be Different)Verified email at u.nus.edu
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Camille CouprieResearch scientist at Facebook AI ResearchVerified email at esiee.fr

Xavier Bresson

Prof of Computer Science and AI, NUS

Verified email at nus.edu.sg - Homepage

Graph Neural Networks Deep Learning Theory Large Language Models Graph Theory Optimization


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	10551	2016
Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson Journal of Machine Learning Research (JMLR), 2020	1277	2020
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	1209	2007
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	1083	2018
A generalization of transformer networks to graphs VP Dwivedi, X Bresson arXiv preprint arXiv:2012.09699, 2020	964	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	871	2018
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	813	2010
Geometric matrix completion with recurrent multi-graph neural networks F Monti, M Bronstein, X Bresson Advances in neural information processing systems 30, 2017	699	2017
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	601	2010
Fma: A dataset for music analysis M Defferrard, K Benzi, P Vandergheynst, X Bresson arXiv preprint arXiv:1612.01840, 2016	596	2016
Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017	565	2017
An efficient graph convolutional network technique for the travelling salesman problem CK Joshi, T Laurent, X Bresson arXiv preprint arXiv:1906.01227, 2019	528	2019
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	476	2008
Graph neural networks with learnable structural and positional representations VP Dwivedi, AT Luu, T Laurent, Y Bengio, X Bresson International Conference on Learning Representations (ICLR) 2022, 2021	417	2021
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	317	2009
Matrix completion on graphs V Kalofolias, X Bresson, M Bronstein, P Vandergheynst arXiv preprint arXiv:1408.1717, 2014	263	2014
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	235	2012
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	222	2006
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning X He, X Bresson, T Laurent, A Perold, Y LeCun, B Hooi International Conference on Learning Representations (ICLR) 2024, 2023	191*	2023
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	190	2013

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