Alexander Genkin

19 papers A* 5Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation.
AAAI
Shanshan Qin, Joshua Pughe-Sanford, Alexander Genkin, Pembe Gizem Özdil, Philip Greengard, Anirvan M. Sengupta, Dmitri B. Chklovskii
2024 J jnl
The Neuron as a Direct Data-Driven Controller.
CoRR
Jason Moore, Alexander Genkin, Magnus Tournoy, Joshua Pughe-Sanford, Robert R. de Ruyter van Steveninck, Dmitri B. Chklovskii
2022 A* conf
Biological Learning of Irreducible Representations of Commuting Transformations.
NeurIPS
Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii
2021 A* conf
Neural optimal feedback control with local learning rules.
NeurIPS
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021 J jnl
Neural optimal feedback control with local learning rules.
CoRR
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2019 J jnl
A Neural Network for Semi-Supervised Learning on Manifolds.
CoRR
Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2019 — conf
A Neural Network for Semi-supervised Learning on Manifolds.
ICANN (1)
Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2018 A* conf
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks.
NeurIPS
Anirvan M. Sengupta, Cengiz Pehlevan, Mariano Tepper, Alexander Genkin, Dmitri B. Chklovskii
2017 Misc conf
A clustering neural network model of insect olfaction.
ACSSC
Cengiz Pehlevan, Alexander Genkin, Dmitri B. Chklovskii
2016 J jnl
Distributed Coordinate Descent for Generalized Linear Models with Regularization.
CoRR
Ilya Trofimov, Alexander Genkin
2015 Misc conf
Distributed Coordinate Descent for L1-regularized Logistic Regression.
AIST
Ilya Trofimov, Alexander Genkin
2014 J jnl
Distributed Coordinate Descent for L1-regularized Logistic Regression.
CoRR
Ilya Trofimov, Alexander Genkin
2012 J jnl
A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way.
Neural Comput.
Tao Hu, Alexander Genkin, Dmitri B. Chklovskii
2012 J jnl
A network of spiking neurons for computing sparse representations in an energy efficient way
CoRR
Tao Hu, Alexander Genkin, Dmitri B. Chklovskii
2007 J jnl
Large-Scale Bayesian Logistic Regression for Text Categorization.
Technometrics
Alexander Genkin, David D. Lewis, David Madigan
2006 A* conf
Constructing informative prior distributions from domain knowledge in text classification.
SIGIR
Aynur A. Dayanik, David D. Lewis, David Madigan, Vladimir Menkov, Alexander Genkin
2005 — conf
DIMACS at the TREC 2005 Genomics Track.
TREC
Aynur A. Dayanik, Alexander Genkin, Paul B. Kantor, David D. Lewis, David Madigan
2004 — conf
DIMACS at the TREC 2004 Genomics Track.
TREC
Aynur A. Dayanik, Dmitriy Fradkin, Alexander Genkin, Paul B. Kantor, David Madigan, David D. Lewis, Vladimir Menkov
2002 J jnl
Set covering submodular maximization: An optimal algorithm for data mining in bioinformatics and medical informatics.
J. Intell. Fuzzy Syst.
Alexander Genkin, Casimir A. Kulikowski, Ilya B. Muchnik