2020
Matrix Inference and Estimation in Multi-Layer Models
NeurIPS 2020poster
We consider the problem of estimating the input and hidden variables of a stochastic multi-layer neural network from an observation of the output. The hidden variables in each layer are represented as matrices with statistical interactions along both rows as well as columns. This problem applies to…