## Papers by members of Google and Google X (aka X-Team)

- [TensorNetwork for Machine Learning](https://arxiv.org/pdf/1906.06329.pdf) 
- [Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping](https://arxiv.org/abs/1709.07857)
- [QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation](https://arxiv.org/abs/1806.10293)
- [Theory III: Dynamics and Generalization in Deep Networks -- a simple solution](https://arxiv.org/abs/1903.04991)
- [A Surprising Linear Relationship Predicts Test Performance in Deep Networks](https://arxiv.org/abs/1807.09659)
- [TensorNetwork: A Library for Physics and Machine Learning](https://arxiv.org/abs/1905.01330) | [library](https://github.com/google/tensornetwork)
- [TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks](https://arxiv.org/abs/1905.01331) | [library](https://github.com/google/tensornetwork)
- Pictures of some aspects of the above papers
    - [Page 01 - Abstract (Tensor Network).jpg](./papers/google-x/Page\ 01\ -\ Abstract\ \(Tensor\ Network\).jpg)
    - [Page 02 - What is a Tensor network.jpg](./papers/google-x/Page\ 02\ -\ What\ is\ a\ Tensor\ network.jpg)
    - [Page 03 - What is a Tensor network.jpg](./papers/google-x/Page\ 03\ -\ What\ is\ a\ Tensor\ network.jpg)
    - [Page 04 - A tree Tensor network....jpg](./papers/google-x/Page\ 04\ -\ A\ tree\ Tensor\ network....jpg)
    - [Page 05 - Tensor Network - a library for ...jpg](./papers/google-x/Page\ 05\ -\ Tensor\ Network\ -\ a\ library\ for\ ...jpg)
    - [Page 06 - Generalisation & no overfitting - Abstract.jpg](./papers/google-x/Page\ 06\ -\ Generalisation\ \&\ no\ overfitting\ -\ Abstract.jpg)
    - [Page 07 - Generalisation & no overfitting.jpg](./papers/google-x/Page\ 07\ -\ Generalisation\ \&\ no\ overfitting.jpg)
    - [Page 08 - Dynamical systems and Deep nets.jpg](./papers/google-x/Page\ 08\ -\ Dynamical\ systems\ and\ Deep\ nets.jpg)
    - [Page 09 - Generalisation bounds.jpg](./papers/google-x/Page\ 09\ -\ Generalisation\ bounds.jpg)
    - [Page 10 - Norm-minimising Gradient descent.jpg](./papers/google-x/Page\ 10\ -\ Norm-minimising\ Gradient\ descent.jpg)
    - [Page 11 - Norm-minimising Gradient descent.jpg](./papers/google-x/Page\ 11\ -\ Norm-minimising\ Gradient\ descent.jpg)
    - [Page 12 - Comparing BN and WN.jpg](./papers/google-x/Page\ 12\ -\ Comparing\ BN\ and\ WN.jpg)
    - [Page 13 - Ranking Minimas.jpg](./papers/google-x/Page\ 13\ -\ Ranking\ Minimas.jpg)
    - [Page 14 - Contributions to Science & Engineering of Intelligence.jpg](./papers/google-x/Page\ 14\ -\ Contributions\ to\ Science\ \&\ Engineering\ of\ Intelligence.jpg)

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