Joan Bruna 个人学术档案 - 学术资源搜索

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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
Arthur SzlamDeepMind在 google.com 的电子邮件经过验证
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York University在 cs.nyu.edu 的电子邮件经过验证
Wojciech ZarembaCo-Founder of OpenAI在 openai.com 的电子邮件经过验证
Stephane MallatProfesseur de Mathématiques Appliquées et Informatique, École Normale Supérieure在 ens.fr 的电子邮件经过验证
Michael BronsteinDeepMind Professor of AI, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Ilya SutskeverCo-Founder and Chief Scientist of OpenAI在 openai.com 的电子邮件经过验证
Dumitru ErhanDirector of Research @ Google DeepMind在 google.com 的电子邮件经过验证
Ian GoodfellowDeepMind在 deepmind.com 的电子邮件经过验证
Denis ZorinProfessor of Computer Science and Mathematics, Courant Institute, NYU在 cs.nyu.edu 的电子邮件经过验证
Daniele PanozzoCourant Institute of Mathematical Sciences - NYU在 cs.nyu.edu 的电子邮件经过验证
Luca VenturiResearch Scientist, Meta在 nyu.edu 的电子邮件经过验证
Soledad VillarJohns Hopkins University在 jhu.edu 的电子邮件经过验证
Afonso S. BandeiraProfessor of Mathematics, ETH Zurich在 math.ethz.ch 的电子邮件经过验证
Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Kyunghyun ChoNew York University, Genentech在 nyu.edu 的电子邮件经过验证
Alejandro RibeiroUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
Alex Nowak-VilaOwkin Inc.在 inria.fr 的电子邮件经过验证
Cinjon ResnickPhD Student, NYU在 nyu.edu 的电子邮件经过验证
Mikael HenaffFacebook AI Research在 nyu.edu 的电子邮件经过验证

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Joan Bruna

Courant Institute of Mathematical Sciences, New York University

在 cims.nyu.edu 的电子邮件经过验证 - 首页

Machine Learning


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
Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ... arXiv preprint arXiv:1312.6199, 2013	16863	2013
Spectral networks and locally connected networks on graphs J Bruna, W Zaremba, A Szlam, Y LeCun arXiv preprint arXiv:1312.6203, 2013	6131	2013
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	3892	2017
Exploiting linear structure within convolutional networks for efficient evaluation EL Denton, W Zaremba, J Bruna, Y LeCun, R Fergus Advances in neural information processing systems 27, 2014	2030	2014
Deep convolutional networks on graph-structured data M Henaff, J Bruna, Y LeCun arXiv preprint arXiv:1506.05163, 2015	1966	2015
Invariant scattering convolution networks J Bruna, S Mallat IEEE transactions on pattern analysis and machine intelligence 35 (8), 1872-1886, 2013	1882	2013
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges MM Bronstein, J Bruna, T Cohen, P Veličković arXiv preprint arXiv:2104.13478, 2021	1154	2021
Few-shot learning with graph neural networks V Garcia, J Bruna arXiv preprint arXiv:1711.04043, 2017	1044	2017
Training convolutional networks with noisy labels S Sukhbaatar, J Bruna, M Paluri, L Bourdev, R Fergus arXiv preprint arXiv:1406.2080, 2014	724	2014
Video (language) modeling: a baseline for generative models of natural videos MA Ranzato, A Szlam, J Bruna, M Mathieu, R Collobert, S Chopra arXiv preprint arXiv:1412.6604, 2014	525	2014
Community detection with graph neural networks J Bruna, X Li stat 1050, 27, 2017	433*	2017
Super-resolution with deep convolutional sufficient statistics J Bruna, P Sprechmann, Y LeCun arXiv preprint arXiv:1511.05666, 2015	408	2015
Can graph neural networks count substructures? Z Chen, L Chen, S Villar, J Bruna Advances in neural information processing systems 33, 10383-10395, 2020	323	2020
On the equivalence between graph isomorphism testing and function approximation with gnns Z Chen, S Villar, L Chen, J Bruna Advances in neural information processing systems 32, 2019	295	2019
Topology and geometry of half-rectified network optimization CD Freeman, J Bruna arXiv preprint arXiv:1611.01540, 2016	258	2016
Revised note on learning quadratic assignment with graph neural networks A Nowak, S Villar, AS Bandeira, J Bruna 2018 IEEE Data Science Workshop (DSW), 1-5, 2018	237*	2018
Intriguing properties of neural networks J Bruna, C Szegedy, I Sutskever, I Goodfellow, W Zaremba, R Fergus, ...	218	2014
Stability properties of graph neural networks F Gama, J Bruna, A Ribeiro IEEE Transactions on Signal Processing 68, 5680-5695, 2020	217	2020
Classification with scattering operators J Bruna, S Mallat CVPR 2011, 1561-1566, 2011	206	2011
Deep geometric prior for surface reconstruction F Williams, T Schneider, C Silva, D Zorin, J Bruna, D Panozzo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	199	2019

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