Set covering submodular maximization: An optimal algorithm for data mining in bioinformatics and medical informatics. - Alexander Genkin; Casimir A. Kulikowski; Ilya B. Muchnik (J. Intell. Fuzzy Syst., 2002)

DIMACS at the TREC 2004 Genomics Track. - Aynur A. Dayanik; Dmitriy Fradkin; Alexander Genkin; Paul B. Kantor; David Madigan; David D. Lewis; Vladimir Menkov (TREC, 2004)

DIMACS at the TREC 2005 Genomics Track. - Aynur A. Dayanik; Alexander Genkin; Paul B. Kantor; David D. Lewis; David Madigan (TREC, 2005)

Constructing informative prior distributions from domain knowledge in text classification. - Aynur A. Dayanik; David D. Lewis; David Madigan; Vladimir Menkov; Alexander Genkin (SIGIR, 2006)

Large-Scale Bayesian Logistic Regression for Text Categorization. - Alexander Genkin; David D. Lewis; David Madigan (Technometrics, 2007)

Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction. - Ashok Veeraraghavan; Alex V. Genkin; Shiv Naga Prasad Vitaladevuni; Lou Scheffer; Shan Xu; Harald F. Hess; Richard Fetter; Marco Cantoni; Graham Knott; Dmitri B. Chklovskii (CVPR, 2010)

A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way. - Tao Hu 005; Alexander Genkin; Dmitri B. Chklovskii (Neural Comput., 2012)

A neuron as a signal processing device. - Tao Hu 005; Zaid J. Towfic; Cengiz Pehlevan; Alex V. Genkin; Dmitri B. Chklovskii (ACSSC, 2013)

Distributed Coordinate Descent for L1-regularized Logistic Regression. - Ilya Trofimov; Alexander Genkin (AIST, 2015)

Distributed Coordinate Descent for Generalized Linear Models with Regularization. - Ilya Trofimov; Alexander Genkin (CoRR, 2016)

A clustering neural network model of insect olfaction. - Cengiz Pehlevan; Alexander Genkin; Dmitri B. Chklovskii (ACSSC, 2017)

Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks. - Anirvan M. Sengupta; Cengiz Pehlevan; Mariano Tepper; Alexander Genkin; Dmitri B. Chklovskii (NeurIPS, 2018)

A Neural Network for Semi-supervised Learning on Manifolds. - Alexander Genkin; Anirvan M. Sengupta; Dmitri B. Chklovskii (ICANN (1), 2019)

Neural optimal feedback control with local learning rules. - Johannes Friedrich; Siavash Golkar; Shiva Farashahi; Alexander Genkin; Anirvan M. Sengupta; Dmitri B. Chklovskii (NeurIPS, 2021)

Biological Learning of Irreducible Representations of Commuting Transformations. - Alexander Genkin; David Lipshutz; Siavash Golkar; Tiberiu Tesileanu; Dmitri B. Chklovskii (NeurIPS, 2022)

The Neuron as a Direct Data-Driven Controller. - Jason Moore; Alexander Genkin; Magnus Tournoy; Joshua Pughe-Sanford; Robert R. de Ruyter van Steveninck; Dmitri B. Chklovskii (CoRR, 2024)