Publications

Frerix, Th., Bruna J.
Approximating Unitary Matrices with Effective Givens Factorization
submitted

Lacroix, T. Obozinski, G., Bruna J, Usunier, N.
Smaller Embeddings for Large Scale Knowledge Base Completion
submitted

Rotskoff, G., Jelassi, S., Bruna J. Vanden-Eijnden, E.
Global Convergence of Neuron Birth-Death Dynamics
submitted
[ paper ]

Williams, F. Schneider, T. Silva C, Zorin, D. Bruna, J and Panozzo, D
Geometric Deep Prior for Surface Reconstruction
submitted
[ paper ]

Gama, F. Ribeiro, A. Bruna, J
Diffusion Scattering Transforms on Graphs
ICLR 19
[ paper ]

Chen, Z. Li, Xiang, Bruna, J.
Supervised Community Detection with Non-backtracking Graph Neural Networks
ICLR 19
[ paper ]

Choma, N. Monti, F. Gerhardt, L., Palczewski, T, Ronaghi, Z, Prabhat, Bhimji, W., Bronstein, M., Klein, S., Bruna, J
Graph Neural Networks for IceCube Signal Classification
ICMLA (Oral) 2018 Best Paper Award

Resnick, C., Eldridge, W. Ha, D, Britz, D., Foerster, J., Togelius, J. Cho, K. and Bruna, J
Pommerman: A multi-agent playground
Marlo AIIDE Workshop (Oral) 2018

Resnick, C. Raileanu, R. , Kapoor, S. Peysakhovich, A. Cho, K, Bruna J
Backplay: "Man muss immer umkehren"
submitted
[ paper ]

Folque, D. Sukhbaatar, S. , Szlam, A, Bruna, J
Planning with Structured Attributes
ICML Workshop 18

Venturi, L. Bandeira, A. Bruna, J.
Spurious Valleys in two-layer Neural Network Optimization Landscapes
submitted
[ paper ]

Bruna, J., Mallat, S
Multiscale Sparse Microcanonical Models
submitted
[ paper ]

Kostrikov,I. Bruna, J., Panozzo,D. and Zorin, D.
Surface Networks
CVPR'18 (oral)
[ paper ]

Nowak, A., Bruna, J.
Divide and Conquer Networks
ICLR 2018
[ paper ]

Garcia, V. and Bruna, J.
Few-Shot Learning with Graph Neural Networks
ICLR 2018
[ paper ]

Henrion, I. Brehmer, J. Bruna, J., Cho, K., Cranmer, K., Louppe, G, Rochette, G.
Neural Message Passing for Jet Physics
NIPS'17 Deep Learning for Physical Sciences Workshop
[ paper ]

R. Vidal, Bruna, J, Giryes, R. and Bruna, J.
Mathematics of Deep Learning
CDC 2017
[ paper ]

Nowak, A., Villar, S., Bandeira, A. and Bruna, J.
A Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
ICML'17 PADL Workshop
[ 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 ]