Jan Niclas Reimann

According to our database, Jan Niclas Reimann authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2022

Neural logic rule layers.

Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Inf. Sci., 2022

Adopting attention-mechanisms for Neural Logic Rule Layers.

Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Autom., 2022

Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks.

Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding

Proceedings of the Pattern Recognition Applications and Methods, 2022

2021

Generalized Dilation Structures in Convolutional Neural Networks.

Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2019

Neural Logic Rule Layers.

Jan Niclas Reimann, Andreas Schwung

CoRR, 2019

Generalized Dilation Neural Networks.

Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung

CoRR, 2019

Potential Game based Distributed Optimization of Modular Production Units.

Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach.

Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018