Nowak, A., Villar, S., Bandeira, A. and Bruna, J.

** A Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks **

submitted

[ paper ]

Bruna, J., Li, Xiang

** Community Detection with Graph Neural Networks **

submitted

[ paper ]

Kostrikov,I. Bruna, J., Panozzo,D. and Zorin, D.

** Surface Networks **

submitted

[ paper ]

Nowak, A., Bruna, J.

** Divide and Conquer Networks **

submitted

[ paper ]

Freeman, D. , Bruna, J.

** Topology and Geometry of Half-Rectified Networks Optimization **

ICLR 2017

[ paper ]

Bronstein, M. Bruna, J., Szlam, A., LeCun, Y. and Vandergyst, P.

** Geometric Deep Learning: going beyond Euclidean Data **

IEEE Sig. Proc. Magazine, 2017

[ paper ]

Dokmanic, I. Bruna, J., Mallat, S. and De Hoop, M.

** Inverse Problems with Invariant Multiscale Statistics **

SPARS 2017 (oral)

[ paper ]

Moreau, Th., Bruna, J.

** Understanding Trainable Sparse Coding via Matrix Factorization **

ICLR 2017

[ conference paper ] [ long version journal paper ]

Bruna, J., Sprechmann, P. and LeCun, Y.

** Super-Resolution with Deep Convolutional Sufficient Statistics **

ICLR 2016 Proceedings

[ paper ]

Henaff, M, Bruna, J. and LeCun, Y.

** Deep Convolutional Networks on Graph-Structured Data **

arxiv, 2015

[ paper ]

Goroshin, R, Bruna, J., Thomson, J. Eigen, D and Lecun, Y,

** Unsupervised Learning of Spatiotemporally Coherent Metrics **

ICCV, 2015

[ paper ]

Bruna, J, Chintala, S., Piantino, S., Szlam, A. and Tygert, M,

** A theoretical argument for complex-valued convolutional networks **

Neural Computation, 2015

[ paper ]

Ranzato, M.A. , Szlam, A., Bruna, J., Mathieu, M., Collobert, R. and Chopra, S.

** Video (language) modeling: a baseline for generative models of natural videos **

Preprint, 2015

[ paper ]

Sukhbaatar, S., Bruna, J., Paluri, M. Bourdev, L. Fergus, R,

** Training Convolutional Networks with Noisy Labels **

ICLR Workshop, 2015

[ paper ]

Bruna, J., Sprechmann, P. and LeCun, Y.

** Source Separation with Scattering Non-negative Matrix Factorization **

ICASSP 2015

[ paper ]

Denton, E., Zaremba, W., Bruna, J., LeCun, Y. and Fergus, R.

** Exploiting Linear Structure within Convolutional Networks for Efficient Evaluation **

NIPS 2014

[ paper ]

Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I. and Fergus, R.

** Intriguing Properties of Neural Networks **

ICLR 2014

[ paper ]

Bruna, J., Zaremba, W., Szlam, A. and LeCun, Y.

** Spectral Networks and Locally Connected Networks on Graphs **

ICLR 2014

[ paper ] , [ (slides) ]

Krishnan, D., Bruna, J. and Fergus, R.

** Blind Deconvolution with Re-weighted Sparsity Promotion **

Nov 2013

[ paper ]

Bruna, J., Szlam, A. and LeCun, Y.

** Signal Recovery from Pooling Representations **

ICML 2014

[ paper ]

Bruna, J., Mallat, S. Bacry, E. and Muzy, J-F.

** Intermittent Process Analysis with Scattering Moments **

Annals of Statistics, 2014

[ paper ] , [ Supplementary ]

Bruna, J., Mallat, S.

** Audio Texture Synthesis with Scattering Moments **

Preprint, 2013

[ paper ]

Bruna, J., LeCun, Y., Szlam, A.

** Learning Stable Group Invariant Representations with Convolutional Networks **

ICLR Workshop, 2013

[ paper ]

Bruna, J.

** Scattering Representations for Recognition **

PhD Thesis, 2012

[ pdf ]

Bruna, J., Mallat, S.,

** Invariant Scattering Convolutional Networks **

IEEE trans of PAMI, 2012

[ paper ]

Bruna, J., Mallat, S.,

** Classification with Scattering Operators **

CVPR, 2011

[ paper ]

Bruna, J, Mallat, S.

** Classification with Invariant Scattering Representations **

IEEE IVMSP 2011

[ paper ]

Bruna, J., Mallat, S.

** Geometric Models with Co-occurrence Groups **

ESANN, 2010

[ paper ]