most citedPredicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach

Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum +3

This study presents a novel approach for predicting wall thickness changes in tubes during the nosing process. Specifically, we first provide a thorough analysis of nosing processe…

cs.LG2020★ 11 cited

Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention

Johannes Pöppelbaum, Andreas Schwung

We propose a novel neural network architecture based on dual quaternions which allow for a compact representation of informations with a main focus on describing rigid body movemen…