11 citations · 24 across the 11 of their papers we have counts for
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cond-mat.soft2021
Traction chain networks: Insights beyond force chain networks for non-spherical particle systems
Daniel N. Wilke
Force chain networks are generally applied in granular materials to gain insight into inter-particle granular contact. For conservative spherical particle systems, i.e. frictionles…
stat.ML2021★ 1 cited
GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks
Younghwan Chae, Daniel N. Wilke, Dominic Kafka
Mini-batch sub-sampling (MBSS) is favored in deep neural network training to reduce the computational cost. Still, it introduces an inherent sampling error, making the selection of…