@article{Rougier:2018,
  doi = {10.1038/d41586-018-04628-w},
  year = {2018},
  month = apr,
  publisher = {Springer Nature},
  volume = {556},
  number = {7701},
  pages = {309--309},
  author = {Rougier, Nicolas P. and Hinsen, Konrad},
  title = {Code reviewing puts extra demands on referees },
  journal = {Nature},
}

@article{Science:2018,
  doi = {10.1126/science.359.6377.725},
  author = {Hutson, Matthew},
  url = {http://science.sciencemag.org/content/359/6377/725},
  year = {2018},
  month = feb,
  volume = {359},
  number = {6377},
  title = {Artificial intelligence faces a replication crisis},
  journal = {Science},
}

@Misc{Roboto:2011,
  author =       {Christian Robertson},
  title =        {The Roboto family of fonts (Google)},
  url =          {https://github.com/google/roboto},
  year =         2011,
  note =         {Apache License, verison 2.0},
}

@Misc{SourceSerifPro:2014,
  author =       {Frank Grießhammer},
  title =        {Source Serif Pro (Adobe Systems)},
  url =          {https://github.com/adobe-fonts/source-serif-pro},
  year =         2014,
  note =         {SIL Open Font License, version 1.1},
}

@Misc{SourceCodePro:2012,
  author =       {Paul D. Hunt},
  title =        {Source Code Pro (Adobe Systems)},
  url =          {https://github.com/adobe-fonts/source-code-pro},
  year =         2012,
  note =         {SIL Open Font License, version 1.1},
}

@article{Topalidou:2015,
  author =       {Topalidou, Meropi and Rougier, Nicolas P.},
  title =        {{[Re] Interaction between cognitive and motor cortico-basal
                  ganglia loops during decision making: a computational study}},
  journal =      {ReScience},
  year =         2015,
  volume =       1,
  number =       1,
  doi =          {10.5281/zenodo.27944},
}

@article{Rougier:2017,
  doi =          {10.7717/peerj-cs.142},
  author =       {Nicolas P. Rougier and Konrad Hinsen and Frédéric Alexandre
                  and Thomas Arildsen and Lorena Barba and Fabien
                  C. Y. Benureau and C. Titus Brown and Pierre de Buyl and Ozan
                  Caglayan and Andrew P. Davison and Marc André Delsuc and
                  Georgios Detorakis and Alexandra K. Diem and Damien Drix and
                  Pierre Enel and Benoît Girard and Olivia Guest and Matt
                  G. Hall and Rafael Neto Henriques and Xavier Hinaut and Kamil
                  S Jaron and Mehdi Khamassi and Almar Klein and Tiina Manninen
                  and Pietro Marchesi and Dan McGlinn and Christoph Metzner and
                  Owen L. Petchey and Hans Ekkehard Plesser and Timothée Poisot
                  and Karthik Ram and Yoav Ram and Etienne Roesch and Cyrille
                  Rossant and Vahid Rostami and Aaron Shifman and Joseph
                  Stachelek and Marcel Stimberg and Frank Stollmeier and
                  Federico Vaggi and Guillaume Viejo and Julien Vitay and Anya
                  Vostinar and Roman Yurchak and Tiziano Zito},
  title =        {{Sustainable computational science: the ReScience
                  initiative}},
  journal =      {{PeerJ} Computer Science},
  month =        12,
  volume =       3,
  pages =        {e142},
  year =         2017,
  github =       {https://github.com/ReScience/ReScience-article-2},
  keywords =     {journal},
  tags =         {OS},
}

@article{Sinha:2022,
  author = {Sinha, Koustuv and Dodge, Jesse and Luccioni, Sasha and Forde, Jessica Zosa and Raparthy, Sharath Chandra and Pineau, Joelle and Stojnic, Robert},
  title = {{ML Reproducibility Challenge 2021}},
  journal = {ReScience C},
  year = {2022},
  month = may,
  volume = {8},
  number = {2},
  pages = {{#48}},
  doi = {10.5281/zenodo.6574723},
  url = {https://zenodo.org/record/6574723/files/article.pdf},
  code_url = {},
  code_doi = {},
  code_swh = {},
  data_url = {},
  data_doi = {},
  review_url = {},
  type = {Editorial},
  language = {Python},
  domain = {ML Reproducibility Challenge 2021},
  keywords = {rescience c, machine learning, deep learning, python, pytorch}
}

@article{Sinha:2021,
  author = {Sinha, Koustuv and Dodge, Jesse and Luccioni, Sasha and Forde, Jessica Zosa and Stojnic, Robert and Pineau, Joelle},
  title = {{ML Reproducibility Challenge 2020}},
  journal = {ReScience C},
  year = {2021},
  month = may,
  volume = {7},
  number = {2},
  pages = {{#1}},
  doi = {10.5281/zenodo.4833117},
  url = {https://zenodo.org/record/4833117/files/article.pdf},
  code_url = {},
  code_doi = {},
  code_swh = {},
  data_url = {},
  data_doi = {},
  review_url = {},
  type = {Editorial},
  language = {},
  domain = {},
  keywords = {machine learning, neurips, reproducibility challenge}
}

@article{Sinha:2020,
  author = {Sinha, Koustuv and Pineau, Joelle and Forde, Jessica and Ke, Rosemary Nan and Larochelle, Hugo},
  title = {{NeurIPS 2019 Reproducibility Challenge}},
  journal = {ReScience C},
  year = {2020},
  month = may,
  volume = {6},
  number = {2},
  pages = {{#11}},
  doi = {10.5281/zenodo.3818627},
  url = {https://zenodo.org/record/3818627/files/article.pdf},
  code_url = {},
  code_doi = {},
  code_swh = {},
  data_url = {},
  data_doi = {},
  review_url = {},
  type = {Editorial},
  language = {},
  domain = {},
  keywords = {machine learning, neurips, reproducibility challenge}
}

@article{Pineau:2019,
  author = {Pineau, Joelle and Sinha, Koustuv and Fried, Genevieve and Ke, Rosemary Nan and Larochelle, Hugo},
  title = {{ICLR Reproducibility Challenge 2019}},
  journal = {ReScience C},
  year = {2019},
  month = may,
  volume = {5},
  number = {2},
  pages = {{#5}},
  doi = {10.5281/zenodo.3158244},
  url = {https://zenodo.org/record/3158244/files/article.pdf},
  code_url = {},
  code_doi = {},
  data_url = {},
  data_doi = {},
  review_url = {https://github.com/ReScience/submissions/issues/5},
  type = {Editorial},
  language = {},
  domain = {},
  keywords = {machine learning, ICLR, reproducibility challenge}
}

% https://sebastianrisi.com/
@inproceedings{
    palm2022variational,
    title={Variational Neural Cellular Automata},
    author={Rasmus Berg Palm and Miguel Gonz{\'a}lez Duque and Shyam Sudhakaran and Sebastian Risi},
    booktitle={International Conference on Learning Representations},
    year={2022},
    note = {\url{https://openreview.net/forum?id=7fFO4cMBx_9}}
}

@misc{vnca,
  author = {Rasmus Berg Palm},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/rasmusbergpalm/vnca}},
}

@article{deng2012mnist,
  title={The mnist database of handwritten digit images for machine learning research},
  author={Deng, Li},
  journal={IEEE Signal Processing Magazine},
  volume={29},
  number={6},
  pages={141--142},
  year={2012},
  publisher={IEEE}
}

@inproceedings{liu2015celebA,
  title = {Deep Learning Face Attributes in the Wild},
  author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
  month = {December},
  year = {2015} 
}

@inproceedings{PyTorch2019,
    author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
    booktitle = {Advances in Neural Information Processing Systems 32},
    pages = {8024--8035},
    publisher = {Curran Associates, Inc.},
    title = {{PyTorch: An Imperative Style, High-Performance Deep Learning Library}},
    note = {\url{https://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf}},
    year = {2019}
}

@inproceedings{OGNeuralCellularAutomata,
 author = {Wulff, N. and Hertz, J A},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Hanson and J. Cowan and C. Giles},
 pages = {},
 publisher = {Morgan-Kaufmann},
 title = {Learning Cellular Automaton Dynamics with Neural Networks},
 url = {https://proceedings.neurips.cc/paper/1992/file/d6c651ddcd97183b2e40bc464231c962-Paper.pdf},
 volume = {5},
 year = {1992}
}

@InProceedings{EvolutionaryNCA,
author="Elmenreich, Wilfried
and Feh{\'e}rv{\'a}ri, Istv{\'a}n",
editor="Bettstetter, Christian
and Gershenson, Carlos",
title="Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes",
booktitle="Self-Organizing Systems",
year="2011",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="16--25",
isbn="978-3-642-19167-1"
}

@article{CNN_NCA,
	doi = {10.1103/physreve.100.032402},
	year = 2019,
	month = {sep},
	publisher = {American Physical Society ({APS})},
	volume = {100},
	number = {3},
	author = {William Gilpin},
	title = {Cellular automata as convolutional neural networks},
	journal = {Physical Review E}
}

@misc{aach2021generalization,
      title={Generalization over different cellular automata rules learned by a deep feed-forward neural network}, 
      author={Marcel Aach and Jens Henrik Goebbert and Jenia Jitsev},
      year={2021},
      eprint={2103.14886},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

@INPROCEEDINGS{gameoflifeNCA,
  author={Springer, Jacob M. and Kenyon, Garrett T.},
  booktitle={2021 International Joint Conference on Neural Networks (IJCNN)}, 
  title={It's Hard for Neural Networks to Learn the Game of Life}, 
  year={2021},
  volume={},
  number={},
  pages={1-8},
  doi={10.1109/IJCNN52387.2021.9534060}
  }

@article{OriginalGoogleNCA,
    title	= {Growing Neural Cellular Automata},
    author	= {Alexander Mordvintsev and Ettore Randazzo and Eyvind Niklasson and Michael Levin},
    year	= {2020},
    journal	= {Distill},
}

@article{textureNCA1,
  author = {Niklasson, Eyvind and Mordvintsev, Alexander and Randazzo, Ettore and Levin, Michael},
  title = {Self-Organising Textures},
  journal = {Distill},
  year = {2021},
  note = {https://distill.pub/selforg/2021/textures},
  doi = {10.23915/distill.00027.003}
}

@article{textureNCA2,
  author    = {Alexander Mordvintsev and
               Eyvind Niklasson and
               Ettore Randazzo},
  title     = {Texture Generation with Neural Cellular Automata},
  journal   = {CoRR},
  volume    = {abs/2105.07299},
  year      = {2021},
  eprinttype = {arXiv},
  eprint    = {2105.07299},
  timestamp = {Tue, 18 May 2021 18:46:40 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2105-07299.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{selfclassifyingNCA,
  author = {Randazzo, Ettore and Mordvintsev, Alexander and Niklasson, Eyvind and Levin, Michael and Greydanus, Sam},
  title = {Self-classifying MNIST Digits},
  journal = {Distill},
  year = {2020},
  note = {https://distill.pub/2020/selforg/mnist},
  doi = {10.23915/distill.00027.002}
}

@misc{segmentationNCA,
author = {Sandler, Mark and Zhmoginov, Andrey and Luo, Liangcheng and Mordvintsev, Alexander and Randazzo, Ettore and Arcas, Blaise},
year = {2020},
month = {08},
pages = {},
title = {Image segmentation via Cellular Automata}
}





@misc{jax2018github,
    author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and George Necula and Adam Paszke and Jake Vander{P}las and Skye Wanderman-{M}ilne and Qiao Zhang},
    title = {{JAX}: composable transformations of {P}ython+{N}um{P}y programs},
    howpublished = {\url{https://github.com/google/jax}},
    version = {0.3.13},
    year = {2018},
}

@misc{flax2020github,
  author = {Jonathan Heek and Anselm Levskaya and Avital Oliver and Marvin Ritter and Bertrand Rondepierre and Andreas Steiner and Marc van {Z}ee},
  title = {{F}lax: A neural network library and ecosystem for {JAX}},
  howpublished = {\url{https://github.com/google/flax}},
  version = {0.6.0},
  year = {2020},
}

@article{kidger2021equinox,
    author={Patrick Kidger and Cristian Garcia},
    title={{E}quinox: neural networks in {JAX} via callable {P}y{T}rees and filtered transformations},
    year={2021},
    journal={Differentiable Programming workshop at Neural Information Processing Systems 2021},
    note = {\url{https://github.com/patrick-kidger/equinox}}
}

@misc{CodeOcean,
  title = {{Code Ocean}},
  howpublished = {\url{https://codeocean.com/}},
  year = {2022},
}

@misc{Paperspace,
  title = {{Paperspace}},
  howpublished = {\url{https://paperspace.com/}},
  year = {2022},
}

@misc{Kaggle,
  title = {{Kaggle}},
  howpublished = {\href{https://kaggle.com/docs/notebooks#the-notebooks-environment}{\texttt{https://kaggle.com/}}},
  year = {2022},
}

@misc{Colab,
  title = {{Google Colaboratory}},
  howpublished = {\url{https://colab.research.google.com/}},
  year = {2022},
}

@misc{GCP,
  title = {{Google Cloud credits}},
  howpublished = {\url{https://cloud.google.com/edu/}},
  year = {2022},
}

@article{VAE-NCA,
  author    = {Mingxiang Chen and
               Zhecheng Wang},
  title     = {Image Generation With Neural Cellular Automatas},
  journal   = {CoRR},
  volume    = {abs/2010.04949},
  year      = {2020},
  eprinttype = {arXiv},
  eprint    = {2010.04949},
  timestamp = {Tue, 20 Oct 2020 15:08:10 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2010-04949.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@misc{ReproducibilityChallenge2022,
  author = {Koustuv Sinha and Jesse Dodge and Jessica Forde and Sharath Chandra Raparthy and Maurits Bleeker and Samarth Bhargav and Joelle Pineau and Robert Stojnic},
  year = {2022},
  title = {{ML Reproducibility Challenge 2022}},
  publisher = {Papers with Code},
  journal = {Papers with Code},
  howpublished = {\url{https://paperswithcode.com/rc2022}},
}



@inproceedings{binarizedMNIST,
author = {Salakhutdinov, Ruslan and Murray, Iain},
title = {On the Quantitative Analysis of Deep Belief Networks},
year = {2008},
isbn = {9781605582054},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/1390156.1390266},
doi = {10.1145/1390156.1390266},
booktitle = {Proceedings of the 25th International Conference on Machine Learning},
pages = {872–879},
numpages = {8},
location = {Helsinki, Finland},
series = {ICML '08}
}



@InProceedings{binarizedMNIST2,
  title = 	 {The Neural Autoregressive Distribution Estimator},
  author = 	 {Larochelle, Hugo and Murray, Iain},
  booktitle = 	 {Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics},
  pages = 	 {29--37},
  year = 	 {2011},
  editor = 	 {Gordon, Geoffrey and Dunson, David and Dudík, Miroslav},
  volume = 	 {15},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {Fort Lauderdale, FL, USA},
  month = 	 {11--13 Apr},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v15/larochelle11a/larochelle11a.pdf},
  url = 	 {https://proceedings.mlr.press/v15/larochelle11a.html},
}

@misc{VAEKingma,
  doi = {10.48550/ARXIV.1312.6114},
  
  url = {https://arxiv.org/abs/1312.6114},
  
  author = {Kingma, Diederik P and Welling, Max},
  
  keywords = {Machine Learning (stat.ML), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Auto-Encoding Variational Bayes},
  
  publisher = {arXiv},
  
  year = {2013},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@InProceedings{VAErezende,
  title = 	 {Stochastic Backpropagation and Approximate Inference in Deep Generative Models},
  author = 	 {Rezende, Danilo Jimenez and Mohamed, Shakir and Wierstra, Daan},
  booktitle = 	 {Proceedings of the 31st International Conference on Machine Learning},
  pages = 	 {1278--1286},
  year = 	 {2014},
  editor = 	 {Xing, Eric P. and Jebara, Tony},
  volume = 	 {32},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {Bejing, China},
  month = 	 {22--24 Jun},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v32/rezende14.pdf},
  url = 	 {https://proceedings.mlr.press/v32/rezende14.html},
}

@inproceedings{BetaVAE,
title={beta-{VAE}: Learning Basic Visual Concepts with a Constrained Variational Framework},
author={Irina Higgins and Loic Matthey and Arka Pal and Christopher Burgess and Xavier Glorot and Matthew Botvinick and Shakir Mohamed and Alexander Lerchner},
booktitle={International Conference on Learning Representations},
year={2017},
url={https://openreview.net/forum?id=Sy2fzU9gl}
}

@misc{IWAE,
  doi = {10.48550/ARXIV.1509.00519},
  url = {https://arxiv.org/abs/1509.00519},
  author = {Burda, Yuri and Grosse, Roger and Salakhutdinov, Ruslan},
  keywords = {Machine Learning (cs.LG), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Importance Weighted Autoencoders},
  publisher = {arXiv},
  year = {2015},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@misc{linearprobe,
title={Understanding intermediate layers using linear classifier probes},
author={Guillaume Alain and Yoshua Bengio},
year={2017},
url={https://openreview.net/forum?id=ryF7rTqgl}
}

@article{gameoflife,
  title={Mathematical Games},
  author={Martin Gardner},
  journal={Scientific American},
  volume={223},
  pages={120--123},
  year={1970}
}

@book{Wolfram2002,
    Author = {Wolfram, Stephen},
    Title = {A New Kind of Science},
    Year = {2002},
    Publisher = {Wolfram Media},
    ISBN = {1579550088},
    URL = {https://www.wolframscience.com},
    Language = {English}
}

@misc{adam,
  doi = {10.48550/ARXIV.1412.6980},
  url = {https://arxiv.org/abs/1412.6980},
  author = {Kingma, Diederik P. and Ba, Jimmy},
  keywords = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Adam: A Method for Stochastic Optimization},
  
  publisher = {arXiv},
  
  year = {2014},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@InProceedings{clipGradient,
  title = 	 {On the difficulty of training recurrent neural networks},
  author = 	 {Pascanu, Razvan and Mikolov, Tomas and Bengio, Yoshua},
  booktitle = 	 {Proceedings of the 30th International Conference on Machine Learning},
  pages = 	 {1310--1318},
  year = 	 {2013},
  editor = 	 {Dasgupta, Sanjoy and McAllester, David},
  volume = 	 {28},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {Atlanta, Georgia, USA},
  month = 	 {6},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v28/pascanu13.pdf},
  url = 	 {https://proceedings.mlr.press/v28/pascanu13.html}
}

@inproceedings{binarizedMNISTsota1,
 author = {Sinha, Samarth and Dieng, Adji Bousso},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
 pages = {12943--12954},
 publisher = {Curran Associates, Inc.},
 title = {Consistency Regularization for Variational Auto-Encoders},
 url = {https://proceedings.neurips.cc/paper/2021/file/6c19e0a6da12dc02239312f151072ddd-Paper.pdf},
 volume = {34},
 year = {2021}
}



@misc{binarizedMNISTsota2,
  doi = {10.48550/ARXIV.1902.02102},
  
  url = {https://arxiv.org/abs/1902.02102},
  
  author = {Maaløe, Lars and Fraccaro, Marco and Liévin, Valentin and Winther, Ole},
  
  keywords = {Machine Learning (stat.ML), Computer Vision and Pattern Recognition (cs.CV), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling},
  
  publisher = {arXiv},
  
  year = {2019},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

@inproceedings{einops,
    title={{Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation}},
    author={Alex Rogozhnikov},
    booktitle={International Conference on Learning Representations},
    year={2022},
    url={https://openreview.net/forum?id=oapKSVM2bcj}
}

@misc{optax,
  title = {The {D}eep{M}ind {JAX} {E}cosystem},
  author = {Babuschkin, Igor and Baumli, Kate and Bell, Alison and Bhupatiraju, Surya and Bruce, Jake and Buchlovsky, Peter and Budden, David and Cai, Trevor and Clark, Aidan and Danihelka, Ivo and Fantacci, Claudio and Godwin, Jonathan and Jones, Chris and Hemsley, Ross and Hennigan, Tom and Hessel, Matteo and Hou, Shaobo and Kapturowski, Steven and Keck, Thomas and Kemaev, Iurii and King, Michael and Kunesch, Markus and Martens, Lena and Merzic, Hamza and Mikulik, Vladimir and Norman, Tamara and Quan, John and Papamakarios, George and Ring, Roman and Ruiz, Francisco and Sanchez, Alvaro and Schneider, Rosalia and Sezener, Eren and Spencer, Stephen and Srinivasan, Srivatsan and Wang, Luyu and Stokowiec, Wojciech and Viola, Fabio},
  url = {http://github.com/deepmind},
  year = {2020},
}

@misc{GraphNCA,
  doi = {10.48550/ARXIV.2110.14237},
  url = {https://arxiv.org/abs/2110.14237},
  author = {Grattarola, Daniele and Livi, Lorenzo and Alippi, Cesare},
  keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Learning Graph Cellular Automata},
  publisher = {arXiv},
  year = {2021},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@inproceedings{ViTNCA,
title={Attention-based Neural Cellular Automata},
author={Mattie Tesfaldet and Derek Nowrouzezahrai and Christopher Pal},
booktitle={Advances in Neural Information Processing Systems},
editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year={2022},
url={https://openreview.net/forum?id=9t24EBSlZOa}
}

@misc{RL_NCA,
  doi = {10.48550/ARXIV.2106.15240},
  url = {https://arxiv.org/abs/2106.15240},
  author = {Variengien, Alexandre and Nichele, Stefano and Glover, Tom and Pontes-Filho, Sidney},
  keywords = {Neural and Evolutionary Computing (cs.NE), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent},
  publisher = {arXiv},
  year = {2021},
  copyright = {Creative Commons Attribution 4.0 International}
}

@misc{NCAManifold,
  doi = {10.48550/ARXIV.2006.12155},
  
  url = {https://arxiv.org/abs/2006.12155},
  
  author = {Ruiz, Alejandro Hernandez and Vilalta, Armand and Moreno-Noguer, Francesc},
  
  keywords = {Neural and Evolutionary Computing (cs.NE), Computer Vision and Pattern Recognition (cs.CV), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Neural Cellular Automata Manifold},
  
  publisher = {arXiv},
  
  year = {2020},
  
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