@inproceedings{hinton2003stochastic,
  title={Stochastic neighbor embedding},
  author={Hinton, Geoffrey E and Roweis, Sam T},
  booktitle={Advances in neural information processing systems},
  pages={857--864},
  year={2003}
}

@article{maaten2008visualizing,
  title={Visualizing data using t-SNE},
  author={Maaten, Laurens van der and Hinton, Geoffrey},
  journal={Journal of machine learning research},
  volume={9},
  number={Nov},
  pages={2579--2605},
  year={2008}
}

@inproceedings{maaten2009learning,
  title={Learning a parametric embedding by preserving local structure},
  author={Maaten, Laurens},
  booktitle={Artificial Intelligence and Statistics},
  pages={384--391},
  year={2009}
}

@inproceedings{yianilos1993data,
  title={Data structures and algorithms for nearest neighbor search in general metric spaces},
  author={Yianilos, Peter N},
  booktitle={SODA},
  volume={93},
  number={194},
  pages={311--321},
  year={1993}
}

@article{linderman2017efficient,
  title={Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding},
  author={Linderman, George C and Rachh, Manas and Hoskins, Jeremy G and Steinerberger, Stefan and Kluger, Yuval},
  journal={arXiv preprint arXiv:1712.09005},
  year={2017}
}

@article{van2014accelerating,
  title={Accelerating t-SNE using tree-based algorithms.},
  author={Van Der Maaten, Laurens},
  journal={Journal of machine learning research},
  volume={15},
  number={1},
  pages={3221--3245},
  year={2014}
}

@inproceedings{bae2010dimension,
  title={Dimension reduction and visualization of large high-dimensional data via interpolation},
  author={Bae, Seung-Hee and Choi, Jong Youl and Qiu, Judy and Fox, Geoffrey C},
  booktitle={Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing},
  pages={203--214},
  year={2010},
  organization={ACM}
}

@article{bunte2012general,
  title={A general framework for dimensionality-reducing data visualization mapping},
  author={Bunte, Kerstin and Biehl, Michael and Hammer, Barbara},
  journal={Neural Computation},
  volume={24},
  number={3},
  pages={771--804},
  year={2012},
  publisher={MIT Press}
}

@inproceedings{gisbrecht2012out,
  title={Out-of-sample kernel extensions for nonparametric dimensionality reduction.},
  author={Gisbrecht, Andrej and Lueks, Wouter and Mokbel, Bassam and Hammer, Barbara},
  booktitle={ESANN},
  volume={2012},
  pages={531--536},
  year={2012}
}

@article{gisbrecht2015parametric,
  title={Parametric nonlinear dimensionality reduction using kernel t-SNE},
  author={Gisbrecht, Andrej and Schulz, Alexander and Hammer, Barbara},
  journal={Neurocomputing},
  volume={147},
  pages={71--82},
  year={2015},
  publisher={Elsevier}
}

@article{kobak2019heavy,
  title={Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations},
  author={Kobak, Dmitry and Linderman, George and Steinerberger, Stefan and Kluger, Yuval and Berens, Philipp},
  journal={arXiv preprint arXiv:1902.05804},
  year={2019}
}