Xavier Bresson

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引用	23776	17866
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i10 指数	84	58

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Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Thomas LaurentProfessor of Mathematics, Loyola Marymount University在 lmu.edu 的电子邮件经过验证
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRA在 cs.ox.ac.uk 的电子邮件经过验证
T F ChanPresident, King Abdullah University of Science & Technology在 kaust.edu.sa 的电子邮件经过验证
Michaël DefferrardResearch Scientist, AI Research, Qualcomm在 qti.qualcomm.com 的电子邮件经过验证
S osher在 math.ucla.edu 的电子邮件经过验证
Patric HagmannProfessor of Radiology, University Hospital Lausanne, Switzerland在 chuv.ch 的电子邮件经过验证
Vijay Prakash DwivediPhD Student at Nanyang Technological University, Singapore在 ntu.edu.sg 的电子邮件经过验证
Arthur SzlamDeepMind在 google.com 的电子邮件经过验证
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAR在 umontreal.ca 的电子邮件经过验证
Xiaoxin HePhD student, National University of Singapore在 u.nus.edu 的电子邮件经过验证
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of Maryland在 cs.umd.edu 的电子邮件经过验证
Ron LevieFaculty of Mathematics, Technion – Israel Institute of Technology在 technion.ac.il 的电子邮件经过验证
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York University在 cs.nyu.edu 的电子邮件经过验证
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AI在 ucla.edu 的电子邮件经过验证
Lovro VrčekPhD Student, Genome Institute of Singapore, A*STAR在 gis.a-star.edu.sg 的电子邮件经过验证
Camille CouprieResearch scientist at Facebook AI Research在 esiee.fr 的电子邮件经过验证
Wee Sun LeeProfessor, Department of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
Dejan SlepčevProfessor of Mathematical Sciences, Carnegie Mellon University在 math.cmu.edu 的电子邮件经过验证
Yang YouPresidential Young Professor, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证

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Xavier Bresson

Assoc Prof of Computer Science, NUS & Distinguished Researcher at Element Inc

在 nus.edu.sg 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Convolutional neural networks on graphs with fast localized spectral filtering M Defferrard, X Bresson, P Vandergheynst Advances in neural information processing systems 29, 2016	9699	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	1197	2007
Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson Journal of Machine Learning Research (JMLR), 2020	1084	2020
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	963	2018
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	810	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	802	2010
A generalization of transformer networks to graphs VP Dwivedi, X Bresson arXiv preprint arXiv:2012.09699, 2020	761	2020
Geometric matrix completion with recurrent multi-graph neural networks F Monti, M Bronstein, X Bresson Advances in neural information processing systems 30, 2017	669	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	594	2010
Fma: A dataset for music analysis M Defferrard, K Benzi, P Vandergheynst, X Bresson arXiv preprint arXiv:1612.01840, 2016	524	2016
Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017	478	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	468	2008
An efficient graph convolutional network technique for the travelling salesman problem CK Joshi, T Laurent, X Bresson arXiv preprint arXiv:1906.01227, 2019	438	2019
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), 2021	316	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	316	2009
Matrix completion on graphs V Kalofolias, X Bresson, M Bronstein, P Vandergheynst arXiv preprint arXiv:1408.1717, 2014	255	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	233	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	224	2006
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	187	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	152	2015

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