# Joan Bruna

According to our database

Collaborative distances:

^{1}, Joan Bruna authored at least 28 papers between 2010 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Neuron birth-death dynamics accelerates gradient descent and converges asymptotically.

Proceedings of the 36th International Conference on Machine Learning, 2019

Approximating Orthogonal Matrices with Effective Givens Factorization.

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Graph Neural Networks for IceCube Signal Classification.

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Few-Shot Learning with Graph Neural Networks.

Proceedings of the 6th International Conference on Learning Representations, 2018

Divide and Conquer Networks.

Proceedings of the 6th International Conference on Learning Representations, 2018

Revised Note on Learning Quadratic Assignment with Graph Neural Networks.

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Surface Networks.

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Pommerman: A Multi-Agent Playground.

Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018

2017

Geometric Deep Learning: Going beyond Euclidean data.

IEEE Signal Process. Mag., 2017

Understanding Trainable Sparse Coding with Matrix Factorization.

Proceedings of the 5th International Conference on Learning Representations, 2017

Topology and Geometry of Half-Rectified Network Optimization.

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A Mathematical Motivation for Complex-Valued Convolutional Networks.

Neural Computation, 2016

Super-Resolution with Deep Convolutional Sufficient Statistics.

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Audio Source Separation with Discriminative Scattering Networks.

Proceedings of the 3rd International Conference on Learning Representations, 2015

Unsupervised Feature Learning from Temporal Data.

Proceedings of the 3rd International Conference on Learning Representations, 2015

Unsupervised Learning of Spatiotemporally Coherent Metrics.

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Source separation with scattering Non-Negative Matrix Factorization.

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Audio Source Separation with Discriminative Scattering Networks.

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

Intriguing properties of neural networks.

Proceedings of the 2nd International Conference on Learning Representations, 2014

Spectral Networks and Locally Connected Networks on Graphs.

Proceedings of the 2nd International Conference on Learning Representations, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Signal recovery from Pooling Representations.

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Scattering Representations for Recognition. (Representations en Scattering pour la Reconaissance).

PhD thesis, 2013

Invariant Scattering Convolution Networks.

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Learning Stable Group Invariant Representations with Convolutional Networks

Proceedings of the 1st International Conference on Learning Representations, 2013

2011

Classification with invariant scattering representations.

Proceedings of the IEEE 10th Image, 2011

Classification with scattering operators.

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Geometric models with co-occurrence groups.

Proceedings of the ESANN 2010, 2010