Tensor-based two-layer decoupling of multivariate polynomial maps
In this paper, we introduce a new decomposition of multivariate maps that generalizes the
decoupling problem recently proposed in the system identification community. In the context …
decoupling problem recently proposed in the system identification community. In the context …
Compressing Neural Networks with Two-Layer Decoupling
The single-layer decoupling problem has recently been used for the compression of neural
networks. However, methods that are based on the single-layer decoupling problem only …
networks. However, methods that are based on the single-layer decoupling problem only …
Two-layer decoupling of multivariate polynomials with coupled ParaTuck and CP decompositions
In this paper, we propose a new method for multivariate function approximation that
generalized the classical decoupling problem. In the context of neural network, this can be …
generalized the classical decoupling problem. In the context of neural network, this can be …