Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks

1 code implementation • 15 Aug 2022 • Elias Trommer, Bernd Waschneck, Akash Kumar

We further demonstrate that our error model can predict the parameters of an approximate multiplier in the context of the commonly used additive Gaussian noise (AGN) model with high accuracy.

Combinatorial Optimization