Joan Bruna
Joan Bruna
Assistant Professor, Courant Institute of Mathematical Sciences, New York University
Verified email at - Homepage
TitleCited byYear
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
Spectral networks and locally connected networks on graphs
J Bruna, W Zaremba, A Szlam, Y LeCun
arXiv preprint arXiv:1312.6203, 2013
Invariant scattering convolution networks
J Bruna, S Mallat
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1872-1886, 2013
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, 1269-1277, 2014
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
Deep convolutional networks on graph-structured data
M Henaff, J Bruna, Y LeCun
arXiv preprint arXiv:1506.05163, 2015
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
Training convolutional networks with noisy labels
S Sukhbaatar, J Bruna, M Paluri, L Bourdev, R Fergus
arXiv preprint arXiv:1406.2080, 2014
Super-resolution with deep convolutional sufficient statistics
J Bruna, P Sprechmann, Y LeCun
arXiv preprint arXiv:1511.05666, 2015
Classification with scattering operators
J Bruna, S Mallat
arXiv preprint arXiv:1011.3023, 2010
Few-shot learning with graph neural networks
V Garcia, J Bruna
arXiv preprint arXiv:1711.04043, 2017
Topology and geometry of half-rectified network optimization
CD Freeman, J Bruna
arXiv preprint arXiv:1611.01540, 2016
Unsupervised learning of spatiotemporally coherent metrics
R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun
Proceedings of the IEEE international conference on computer vision, 4086-4093, 2015
Hierarchical graph representation learning with differentiable pooling
Z Ying, J You, C Morris, X Ren, W Hamilton, J Leskovec
Advances in Neural Information Processing Systems, 4800-4810, 2018
Signal recovery from pooling representations
J Bruna, A Szlam, Y LeCun
arXiv preprint arXiv:1311.4025, 2013
Mathematics of deep learning
R Vidal, J Bruna, R Giryes, S Soatto
arXiv preprint arXiv:1712.04741, 2017
A mathematical motivation for complex-valued convolutional networks
M Tygert, J Bruna, S Chintala, Y LeCun, S Piantino, A Szlam
Neural computation 28 (5), 815-825, 2016
Audio texture synthesis with scattering moments
J Bruna, S Mallat
arXiv preprint arXiv:1311.0407, 2013
Neural networks with finite intrinsic dimension have no spurious valleys
L Venturi, A Bandeira, J Bruna
arXiv preprint arXiv:1802.06384 15, 2018
Unsupervised feature learning from temporal data
R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun
arXiv preprint arXiv:1504.02518, 2015
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