DynamicBlocks/paper.bib at master · EmoryMLIP/DynamicBlocks · GitHub

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@inproceedings{chang2018reversible,
	title={Reversible Architectures for Arbitrarily Deep Residual Neural Networks},
	author={Chang, Bo and Meng, Lili and Haber, Eldad and Ruthotto, Lars and Begert, David and Holtham, Elliot},
	booktitle  = {AAAI Conference on {AI}},
	url={https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewPaper/16517},
	year={2018}
}


@incollection{chen2018neural,
    title = {Neural Ordinary Differential Equations},
    author = {Chen, Tian Qi and Rubanova, Yulia and Bettencourt, Jesse and Duvenaud, David K},
    booktitle = {Advances in Neural Information Processing Systems 31},
    pages = {6571--6583},
    year = {2018},
    url = {http://papers.nips.cc/paper/7892-neural-ordinary-differential-equations.pdf}
}

@article{gholami2019anode,
    author={Gholami, Amir and Keutzer, Kurt and Biros, George},
    title     = {{ANODE:} Unconditionally Accurate Memory-Efficient Gradients for Neural
               ODEs},
    journal   = {arXiv:1902.10298},
    year      = {2019},
    url       = {http://arxiv.org/abs/1902.10298},
    archivePrefix = {arXiv},
    eprint    = {1902.10298}
}


@InProceedings{haber2019imexnet,
  title = 	 {{IMEX}net A Forward Stable Deep Neural Network},
  author = 	 {Haber, Eldad and Lensink, Keegan and Treister, Eran and Ruthotto, Lars},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning},
  pages = 	 {2525--2534},
  year = 	 {2019},
  volume = 	 {97},
  month = 	 {09--15 Jun},
  pdf = 	 {http://proceedings.mlr.press/v97/haber19a/haber19a.pdf},
  url = 	 {http://proceedings.mlr.press/v97/haber19a.html},
}

@article{haber2017stable,
	doi = {10.1088/1361-6420/aa9a90},
	url = {https://doi.org/10.1088%2F1361-6420%2Faa9a90},
	year = 2017,
	month = {dec},
	publisher = {{IOP} Publishing},
	volume = {34},
	number = {1},
	pages = {014004},
	author = {Eldad Haber and Lars Ruthotto},
	title = {Stable architectures for deep neural networks},
	journal = {Inverse Problems},
    annote    = {Supported by NSF DMS 1522599}
}

@inproceedings{he2016deep,
    title={Deep residual learning for image recognition},
    author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    pages={770--778},
    year={2016},
    url={https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf}
}

@InProceedings{lu2018,
  title = 	 {Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations},
  author = 	 {Lu, Yiping and Zhong, Aoxiao and Li, Quanzheng and Dong, Bin},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning},
  pages = 	 {3276--3285},
  year = 	 {2018},
  volume = 	 {80},
  month = 	 {10--15 Jul},
  pdf = 	 {http://proceedings.mlr.press/v80/lu18d/lu18d.pdf},
  url = 	 {http://proceedings.mlr.press/v80/lu18d.html},
}

@article{ruthotto2018deep,
    title={Deep Neural Networks motivated by Partial Differential Equations},
    author={Ruthotto, Lars and Haber, Eldad},
    journal={arXiv:1804.04272},
    year={2018},
    url={https://arxiv.org/abs/1804.04272},
    annote ={Supported by NSF DMS 1522599}
}


@article{weinan2017,
    author = {Weinan, E.},
    title = {{A Proposal on Machine Learning via Dynamical Systems}},
    journal = {Comm. Math. Statist.},
    year = {2017},
    volume = {5},
    number = {1},
    pages = {1--11},
    publisher = {Springer Berlin Heidelberg},
    doi = {10.1007/s40304-017-0103-z},
    url = {http://link.springer.com/10.1007/s40304-017-0103-z}
}