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Jan Niclas Reimann
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- affiliation: South Westfalia University of Applied Sciences, Soest, Germany
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2020 – today
- 2024
- [i3]Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum, Jan Niclas Reimann, Michael Marré, Andreas Schwung:
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach. CoRR abs/2411.13366 (2024) - 2022
- [j2]Jan Niclas Reimann, Andreas Schwung
, Steven X. Ding:
Adopting attention-mechanisms for Neural Logic Rule Layers. Autom. 70(3): 257-266 (2022) - [j1]Jan Niclas Reimann, Andreas Schwung
Neural logic rule layers. Inf. Sci. 596: 185-201 (2022) - [c4]Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding:
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. ICPRAM (Revised Selected Papers) 2022: 23-51 - 2021
- [c3]Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung:
Generalized Dilation Structures in Convolutional Neural Networks. ICPRAM 2021: 79-88
2010 – 2019
- 2019
- [c2]Dorothea Schwung
Potential Game based Distributed Optimization of Modular Production Units. INDIN 2019: 106-111 - [i2]Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung:
Generalized Dilation Neural Networks. CoRR abs/1905.02961 (2019) - [i1]Jan Niclas Reimann, Andreas Schwung:
Neural Logic Rule Layers. CoRR abs/1907.00878 (2019) - 2018
- [c1]Dorothea Schwung
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. IEEE Conf. on Intelligent Systems 2018: 31-38
Coauthor Index
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