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2020 – today
- 2021
[i5]Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella:
Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences. CoRR abs/2102.02589 (2021)- [i4]Michael Herty, Anna Thünen, Torsten Trimborn, Giuseppe Visconti:
Continuous limits of residual neural networks in case of large input data. CoRR abs/2112.14150 (2021) - 2020
- [j1]Maximilian Beikirch, Simon Cramer
, Martin Frank, Philipp Otte, Emma Pabich, Torsten Trimborn:
Robust Mathematical formulation and Probabilistic Description of Agent-based Computational Economic Market Models. Adv. Complex Syst. 23(6): 2050017:1-2050017:41 (2020) - [i3]Michael Herty, Torsten Trimborn, Giuseppe Visconti:
Kinetic Theory for Residual Neural Networks. CoRR abs/2001.04294 (2020) - [i2]Christian Gebhardt, Torsten Trimborn, Felix Weber, Alexander Bezold, Christoph Broeckmann, Michael Herty:
Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship. CoRR abs/2005.06615 (2020)
2010 – 2019
- 2019
- [i1]Mapundi K. Banda, Michael Herty, Torsten Trimborn:
Recent developments in controlled crowd dynamics. CoRR abs/1911.03625 (2019)
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