Samuel S. Schoenholz

According to our database1, Samuel S. Schoenholz authored at least 12 papers between 2009 and 2018.

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Bibliography

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

Deep Neural Networks as Gaussian Processes.
Proceedings of the 6th International Conference on Learning Representations, 2018

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

Intriguing Properties of Adversarial Examples.
Proceedings of the 6th International Conference on Learning Representations, 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.
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

Deep Information Propagation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Explaining the Learning Dynamics of Direct Feedback Alignment.
Proceedings of the 5th International Conference on Learning Representations, 2017

2009
Specialization as an optimal strategy under varying external conditions.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009


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