Rigid Body Movement Prediction Using Dual Quaternion Recurrent Neural Networks. - Andreas Schwung; Johannes Pöppelbaum; Pradeep C. Nutakki (ICIT, 2021)

Curriculum Learning in Peristaltic Sortation Machine. - Mohammed Sharafath Abdul Hameed; Venkata Harshit Koneru; Johannes Pöppelbaum; Andreas Schwung (INDIN, 2022)

Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention. - Johannes Pöppelbaum; Andreas Schwung (IEEE Access, 2022)

Contrastive learning based self-supervised time-series analysis. - Johannes Pöppelbaum; Gavneet Singh Chadha; Andreas Schwung (Appl. Soft Comput., 2022)

Quaternion Backpropagation. - Johannes Pöppelbaum; Andreas Schwung (CoRR, 2022)

Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach. - Sasa Ilic; Abdulkerim Karaman; Johannes Pöppelbaum; Jan Niclas Reimann; Michael Marré; Andreas Schwung (CoRR, 2024)

Improving quaternion neural networks with quaternionic activation functions. - Johannes Pöppelbaum; Andreas Schwung (Knowl. Based Syst., 2024)

Time series compression using quaternion valued neural networks and quaternion backpropagation. - Johannes Pöppelbaum; Andreas Schwung (Neural Networks, 2025)

KineNN: Kinematic Neural Network for inverse model policy based on homogeneous transformation matrix and dual quaternion. - Mochammad Rizky Diprasetya; Johannes Pöppelbaum; Andreas Schwung (Robotics Comput. Integr. Manuf., 2025)