CITATION

# Infinite width NTK/NNGP:
@inproceedings{neuraltangents2020,
    title={Neural Tangents: Fast and Easy Infinite Neural Networks in Python},
    author={Roman Novak and Lechao Xiao and Jiri Hron and Jaehoon Lee and Alexander A. Alemi and Jascha Sohl-Dickstein and Samuel S. Schoenholz},
    booktitle={International Conference on Learning Representations},
    year={2020},
    pdf={https://arxiv.org/abs/1912.02803},
    url={https://github.com/google/neural-tangents}
}

# Finite width, empirical NTK/NNGP:
@inproceedings{novak2022fast,
    title={Fast Finite Width Neural Tangent Kernel},
    author={Roman Novak and Jascha Sohl-Dickstein and Samuel S. Schoenholz},
    booktitle={International Conference on Machine Learning},
    year={2022},
    pdf={https://arxiv.org/abs/2206.08720},
    url={https://github.com/google/neural-tangents}
}

# Attention and variable-length inputs:
@inproceedings{hron2020infinite,
    title={Infinite attention: NNGP and NTK for deep attention networks},
    author={Jiri Hron and Yasaman Bahri and Jascha Sohl-Dickstein and Roman Novak},
    booktitle={International Conference on Machine Learning},
    year={2020},
    pdf={https://arxiv.org/abs/2006.10540},
    url={https://github.com/google/neural-tangents}
}

# Infinite-width "standard" parameterization:
@misc{sohl2020on,
    title={On the infinite width limit of neural networks with a standard parameterization},
    author={Jascha Sohl-Dickstein and Roman Novak and Samuel S. Schoenholz and Jaehoon Lee},
    publisher = {arXiv},
    year={2020},
    pdf={https://arxiv.org/abs/2001.07301},
    url={https://github.com/google/neural-tangents}
}

# Elementwise nonlinearities and sketching:
@inproceedings{han2022fast,
    title={Fast Neural Kernel Embeddings for General Activations},
    author={Insu Han and Amir Zandieh and Jaehoon Lee and Roman Novak and Lechao Xiao and Amin Karbasi},
    booktitle = {Advances in Neural Information Processing Systems},
    year={2022},
    pdf={https://arxiv.org/abs/2209.04121},
    url={https://github.com/google/neural-tangents}
}