Michael Bronstein
Cited by
Cited by
Dynamic graph cnn for learning on point clouds
Y Wang, Y Sun, Z Liu, SE Sarma, MM Bronstein, JM Solomon
ACM Transactions on Graphics (tog) 38 (5), 1-12, 2019
Geometric deep learning: going beyond euclidean data
MM Bronstein, J Bruna, Y LeCun, A Szlam, P Vandergheynst
IEEE Signal Processing Magazine 34 (4), 18-42, 2017
Geometric deep learning on graphs and manifolds using mixture model cnns
F Monti, D Boscaini, J Masci, E Rodola, J Svoboda, MM Bronstein
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges
MM Bronstein, J Bruna, T Cohen, P Veličković
arXiv preprint arXiv:2104.13478, 2021
Numerical geometry of non-rigid shapes
AM Bronstein, MM Bronstein, M Bronstein, R Kimmel
Springer-Verlag New York Inc, 2008
Geodesic convolutional neural networks on riemannian manifolds
J Masci, D Boscaini, M Bronstein, P Vandergheynst
Proceedings of the IEEE international conference on computer vision …, 2015
Scale-invariant heat kernel signatures for non-rigid shape recognition
MM Bronstein, I Kokkinos
International Conference on Computer Vision and Pattern Recognition, 1704-1711, 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
Three-dimensional face recognition
AM Bronstein, MM Bronstein, R Kimmel
International Journal of Computer Vision 64, 5-30, 2005
LDAHash: Improved matching with smaller descriptors
C Strecha, AM Bronstein, MM Bronstein, P Fua
Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (1), 66-78, 2012
Shape google: Geometric words and expressions for invariant shape retrieval
AM Bronstein, MM Bronstein, LJ Guibas, M Ovsjanikov
ACM Transactions on Graphics (TOG) 30 (1), 1-20, 2011
Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching
AM Bronstein, MM Bronstein, R Kimmel
Proceedings of the National Academy of Sciences of the United States of …, 2006
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, M Bronstein, X Bresson
Advances in neural information processing systems 30, 2017
Fake news detection on social media using geometric deep learning
F Monti, F Frasca, D Eynard, D Mannion, MM Bronstein
arXiv preprint arXiv:1902.06673, 2019
Learning shape correspondence with anisotropic convolutional neural networks
D Boscaini, J Masci, E Rodolà, M Bronstein
Advances in neural information processing systems 29, 2016
Temporal graph networks for deep learning on dynamic graphs
E Rossi, B Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein
arXiv preprint arXiv:2006.10637, 2020
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
P Gainza, F Sverrisson, F Monti, E Rodola, D Boscaini, MM Bronstein, ...
Nature Methods 17 (2), 184-192, 2020
Data fusion through cross-modality metric learning using similarity-sensitive hashing
MM Bronstein, AM Bronstein, F Michel, N Paragios
2010 IEEE computer society conference on computer vision and pattern …, 2010
Expression-invariant 3D face recognition
AM Bronstein, MM Bronstein, R Kimmel
Audio-and Video-Based Biometric Person Authentication, 62-70, 2003
Improving graph neural network expressivity via subgraph isomorphism counting
G Bouritsas, F Frasca, S Zafeiriou, MM Bronstein
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 657-668, 2022
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