עקוב אחר
Michael Bronstein
Michael Bronstein
DeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRA
כתובת אימייל מאומתת בדומיין cs.ox.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
67332019
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
42092017
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
23182017
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges‏
MM Bronstein, J Bruna, T Cohen, P Veličković‏
arXiv preprint arXiv:2104.13478, 2021‏
13872021
Numerical geometry of non-rigid shapes‏
AM Bronstein, MM Bronstein, M Bronstein, R Kimmel‏
Springer-Verlag New York Inc, 2008‏
9842008
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
9792015
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
8352018
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
8352010
Three-dimensional face recognition‏
AM Bronstein, MM Bronstein, R Kimmel‏
International Journal of Computer Vision 64, 5-30, 2005‏
7652005
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
7462020
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
7262012
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
7192006
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
7132011
Geometric matrix completion with recurrent multi-graph neural networks‏
F Monti, M Bronstein, X Bresson‏
Advances in neural information processing systems 30, 2017‏
6882017
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
6782019
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
6652020
Learning shape correspondence with anisotropic convolutional neural networks‏
D Boscaini, J Masci, E Rodolà, M Bronstein‏
Advances in neural information processing systems 29, 2016‏
6242016
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
5642010
Understanding over-squashing and bottlenecks on graphs via curvature‏
J Topping, F Di Giovanni, BP Chamberlain, X Dong, MM Bronstein‏
arXiv preprint arXiv:2111.14522, 2021‏
4862021
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
4782022
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מאמרים 1–20