My Publications

• Dec 18, 2023. Preprint (draft) of my new work On model-based clustering with entropic optimal transport’ available here. It will appear on the ArXiv in early 2024.
• You can also browse my Google Scholar profile for the most up-to date list of my publicly available scholarly work.

2019

• E. Yemini, A. Lin, A. Nejatbakhsh, E. Varol, R. Sun, G. Mena, D.T. Samuel, L. Paninski, V. Venkatachalam, O. Hobert
  NeuroPAL: A Neuronal Polychromatic Atlas of Landmarks for Whole-Brain Imaging in C. elegans
  Under Review,
  [bioRxiv]

• G. Mena and J. Weed.
  Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
  NeurIPS,
  [arXiv]

• N. Shah, S. Madugula, L. Grosberg, G. Mena, P. Tandon, P. Hottowy, A.Sher, A. Litke, S. Mitra, E. J. Chichilnisky:
  Optimization of Electrical Stimulation for a High-Fidelity Artificial Retina
  9th International IEEE/EMBS Conference on Neural Engineering (NER), 714-718S,
  

2018

• G. Mena D. Belanger, S. Linderman, J. Snoek,
  Learing Latent Permutations with Gumbel-Sinkhorn Networks
  International Conference on Learning Representations,
  [BibTeX] [OpenReview] [arXiv] [Code]

  @inproceedings{
  Mena2018Sinkhorn,
  title={Learning Latent Permutations with Gumbel-Sinkhorn Networks},
  author={Gonzalo Mena and David Belanger and Scott Linderman and Jasper Snoek},
  booktitle={International Conference on Learning Representations},
  year={2018},
  url={https://openreview.net/forum?id=Byt3oJ-0W},
  }
  

• S. Linderman*, G. Mena*, H. Cooper, J. Cunningham, L. Paninksi
  Reparameterizing the Birkhoff Polytope for Permutation Variational Inference.
  AISTATS,
  [BibTeX] [arXiv]

  @article{LindermanMena2017reparameterizing,
  Author = {Linderman, Scott W. and Mena, Gonzalo E. and Cooper, Hal and Paninski, Liam and Cunningham, John P.},
  Journal = {arXiv preprint arXiv:1710.09508},
  Title = {Reparameterizing the {B}irkhoff Polytope for
  Variational Permutation Inference},
  Year = {2017}}
  }

2017

• G. Mena L. Grosberg, S. Madugula, P. Hottowy, A. Litke, J. Cunningham, L. Paninksi and E.J. Chichilnisky
  Large-scale separation of neural spikes from electrical stimulation artifacts
  PLOS Computational Biology,
  [BibTeX] [Link] [Code]

  @article{mena2017electrical,
  title={Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays},
  author={Mena, Gonzalo E and Grosberg, Lauren E and Madugula, Sasidhar and Hottowy, Pawe{\l} and Litke, Alan and Cunningham, John and Chichilnisky, EJ and Paninski, Liam},
  journal={PLoS computational biology},
  volume={13},
  number={11},
  pages={e1005842},
  year={2017},
  publisher={Public Library of Science}
  }
  

• G. Mena D. Belanger, G. Muñoz, J. Snoek,
  Sinkhorn Networks: Using Optimal Transport Techniques to Learn Permutations.
  NIPS Workshop in Optimal Transport & Machine Learning.,
  [BibTeX] [PDF] [Poster]

  @inproceedings{Mena2017OT,
  title={Sinkhorn Networks: Using Optimal Transport Techniques
  to Learn Permutations.},
  author={Mena, Gonzalo and Belanger, David and Munoz, Gonzalo and S},
  booktitle={NIPS Workshop in Optimal Transport & Machine Learning},
  year={2017}
  }

• G. Mena* S. Linderman, D. Belanger, J. Snoek, J. Cunningham, L. Paninski.
  Toward Bayesian permutation inference for identifying neurons in C. elegans.
  NIPS Workshop on Worms Neural Information Processing (WNIP),
  [BibTeX] [PDF] [Poster]

  @inproceedings{Mena2017Worm,
  title={Toward Bayesian permutation inference for identifying neurons in C. elegans.},
  author={Mena, Gonzalo and Linderman, Scott and Belanger, David and Snoek, Jasper and Cunningham, John and Paninski, Liam},
  booktitle={NIPS Workshop on Worms Neural Information Processing (WNIP)},
  year={2017}
  }

• S. Madugula*, G. Mena*, L. Grosberg, V. Fan, P. Hottowy, W.Dabrowski, A. Sher, A. Litke, L. Paninski, E.J. Chichilnisky
  Large-scale analysis of patterned epiretinal stimulation for prosthesis design
  The Eye and The Chip,
  [PDF]

• G. Mena, L. Grosberg, S. Madugula, , P. Hottowy, A. Litke, J. Cunningham, L. Paninksi and E.J. Chichilnisky
  Large-scale spike sorting for the analysis of electrical stimulation and a first application
  Cosyne,
  [PDF] [Poster]

2015

• G. Mena* and L. Grosberg*, F. Kellison-Linn, F., Chichilnisky E.J. and L. Paninski
  Large-scale Multi Electrode Array Spike Sorting Algorithm Introducing Concurrent Recording and Stimulation
  NIPS workshop on Statistical Methods for Understanding Neural Systems
  [BibTeX] [PDF] [Poster]

    @inproceedings{mena2015large,
      title={Large-scale multi electrode array spike sorting algorithm introducing concurrent recording and stimulation},
      author={Mena, Gonzalo and Grosberg, Lauren and Kellison-Linn, Frederick and Chichilnisky, E and Paninski, Liam},
      booktitle={NIPS workshop on Statistical Methods for Understanding Neural Systems},
      year={2015}
    }

2014

• G. Mena and L. Paninski
  On quadrature methods for refractory point process likelihoods.
  Neural Computation
  [BibTeX] [Web] [Code (web)] [Web] [PrePrint] [Code (github)]

    @article{mena2014quadrature,
      title={On quadrature methods for refractory point process likelihoods},
      author={Mena, Gonzalo and Paninski, Liam},
      journal={Neural computation},
      year={2014},
      publisher={MIT Press One Rogers St., Cambridge, MA 02142-1209 USA journals-info@ mit. edu}
    }
  

Thesis

• B.S. thesis in mathematical engineering (spanish)
  Aportes a la teoría de ecuaciones diferenciales estocásticas reflejadas y al modelamiento de procesos neurobiológicos subyacentes a fenómenos cognitivos, 2011
  [BibTeX] [PDF]

  @article{mena2011aportes,
    title={Aportes a la teor{\'\i}a de ecuaciones diferenciales estoc{\'a}sticas reflejadas y al modelamiento de procesos neurobiol{\'o}gicos subyacentes a fen{\'o}menos cognitivos},
    author={Mena Carrasco, Gonzalo Esteban},
    year={2011},
    publisher={Universidad de Chile}
  }
  }