Linear latent variable models such as principal component analysis (PCA)...
Recent developments in surrogate construction predominantly focused on t...
This work investigates the effects of the choice of momentum diffusion
o...
Force chain networks are generally applied in granular materials to gain...
Mini-batch sub-sampling (MBSS) is favored in deep neural network trainin...
Gradient-only line searches (GOLS) adaptively determine step sizes along...
Learning rates in stochastic neural network training are currently deter...
Choosing appropriate step sizes is critical for reducing the computation...