2 papers
cs.LG2019
A Neural Network for Semi-Supervised Learning on Manifolds
Alexander Genkin, Anirvan M. Sengupta, Dmitri Chklovskii
Semi-supervised learning algorithms typically construct a weighted graph of data points to represent a manifold. However, an explicit graph representation is problematic for neural…
cs.NE2012
A network of spiking neurons for computing sparse representations in an energy efficient way
Tao Hu, Alexander Genkin, Dmitri B. Chklovskii
Computing sparse redundant representations is an important problem both in applied mathematics and neuroscience. In many applications, this problem must be solved in an energy effi…