# Samuel S. Schoenholz

According to our database

Collaborative distances:

^{1}, Samuel S. Schoenholz authored at least 18 papers between 2009 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.

CoRR, 2018

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.

CoRR, 2018

The Emergence of Spectral Universality in Deep Networks.

CoRR, 2018

Adversarial Spheres.

CoRR, 2018

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.

Proceedings of the 35th International Conference on Machine Learning, 2018

Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.

Proceedings of the 35th International Conference on Machine Learning, 2018

The emergence of spectral universality in deep networks.

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Mean Field Residual Networks: On the Edge of Chaos.

CoRR, 2017

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice.

CoRR, 2017

Intriguing Properties of Adversarial Examples.

CoRR, 2017

Deep Neural Networks as Gaussian Processes.

CoRR, 2017

A Correspondence Between Random Neural Networks and Statistical Field Theory.

CoRR, 2017

Neural Message Passing for Quantum Chemistry.

CoRR, 2017

Mean Field Residual Networks: On the Edge of Chaos.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Message Passing for Quantum Chemistry.

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Deep Information Propagation.

CoRR, 2016

2009

Specialization as an optimal strategy under varying external conditions.

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009