research
∙
07/11/2023
Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) Framework
Linear latent variable models such as principal component analysis (PCA)...
share
research
∙
03/30/2023
A Novel and Fully Automated Domain Transformation Scheme for Near Optimal Surrogate Construction
Recent developments in surrogate construction predominantly focused on t...
research
∙
03/17/2023
On the momentum diffusion over multiphase surfaces with meshless methods
This work investigates the effects of the choice of momentum diffusion o...
research
∙
06/07/2021
Traction chain networks: Insights beyond force chain networks for non-spherical particle systems
Force chain networks are generally applied in granular materials to gain...
research
∙
05/23/2021
GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks
Mini-batch sub-sampling (MBSS) is favored in deep neural network trainin...
research
∙
02/23/2020
Investigating the interaction between gradient-only line searches and different activation functions
Gradient-only line searches (GOLS) adaptively determine step sizes along...
research
∙
01/15/2020
Resolving learning rates adaptively by locating Stochastic Non-Negative Associated Gradient Projection Points using line searches
Learning rates in stochastic neural network training are currently deter...
research
∙
09/15/2019
