Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. - Dorothea Schwung; Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (IEEE Conf. on Intelligent Systems, 2018)

Potential Game based Distributed Optimization of Modular Production Units. - Dorothea Schwung; Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (INDIN, 2019)

Generalized Dilation Neural Networks. - Gavneet Singh Chadha; Jan Niclas Reimann; Andreas Schwung (CoRR, 2019)

Neural Logic Rule Layers. - Jan Niclas Reimann; Andreas Schwung (CoRR, 2019)

Generalized Dilation Structures in Convolutional Neural Networks. - Gavneet Singh Chadha; Jan Niclas Reimann; Andreas Schwung (ICPRAM, 2021)

Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. - Jan Niclas Reimann; Bhargav Bharat Shukla; Andreas Schwung; Steven X. Ding (ICPRAM (Revised Selected Papers), 2022)

Adopting attention-mechanisms for Neural Logic Rule Layers. - Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (Autom., 2022)

Neural logic rule layers. - Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (Inf. Sci., 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)