On Quadrature Methods for Refractory Point Process Likelihoods. - Gonzalo E. Mena; Liam Paninski (Neural Comput., 2014)

Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays. - Gonzalo E. Mena; Lauren E. Grosberg; Sasidhar Madugula; Pawel Hottowy; Alan M. Litke; John P. Cunningham; E. J. Chichilnisky; Liam Paninski (PLoS Comput. Biol., 2017)

Reparameterizing the Birkhoff Polytope for Variational Permutation Inference. - Scott W. Linderman; Gonzalo E. Mena; Hal James Cooper; Liam Paninski; John P. Cunningham (AISTATS, 2018)

Learning Latent Permutations with Gumbel-Sinkhorn Networks. - Gonzalo E. Mena; David Belanger 002; Scott W. Linderman; Jasper Snoek (ICLR (Poster), 2018)

Sinkhorn Permutation Variational Marginal Inference. - Gonzalo E. Mena; Erdem Varol; Amin Nejatbakhsh; Eviatar Yemini; Liam Paninski (AABI, 2019)

Optimization of Electrical Stimulation for a High-Fidelity Artificial Retina. - Nishal P. Shah; Sasidhar Madugula; Lauren E. Grosberg; Gonzalo E. Mena; Pulkit Tandon; Pawel Hottowy; Alexander Sher; Alan M. Litke; Subhasish Mitra; E. J. Chichilnisky (NER, 2019)

Statistical Atlas of C. elegans Neurons. - Erdem Varol; Amin Nejatbakhsh; Ruoxi Sun 006; Gonzalo E. Mena; Eviatar Yemini; Oliver Hobert; Liam Paninski (MICCAI (5), 2020)

Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport. - Gonzalo E. Mena; Amin Nejatbakhsh; Erdem Varol; Jonathan Niles-Weed (CoRR, 2020)