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Journal Articles
- 2024
[j4]Axel Klawonn
, Martin Lanser, Janine Weber:
Learning adaptive coarse basis functions of FETI-DP. J. Comput. Phys. 496: 112587 (2024)- [j3]Axel Klawonn, Martin Lanser, Janine Weber:
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems. SIAM J. Sci. Comput. 46(5): 557- (2024) - 2021
- [j2]Alexander Heinlein, Axel Klawonn, Martin Lanser, Janine Weber:
Combining Machine Learning and Adaptive Coarse Spaces - A Hybrid Approach for Robust FETI-DP Methods in Three Dimensions. SIAM J. Sci. Comput. 43(5): S816-S838 (2021) - 2019
- [j1]Alexander Heinlein, Axel Klawonn, Martin Lanser, Janine Weber:
Machine Learning in Adaptive Domain Decomposition Methods - Predicting the Geometric Location of Constraints. SIAM J. Sci. Comput. 41(6): A3887-A3912 (2019)
Conference and Workshop Papers
- 2019
- [c2]Alexander Heinlein, Axel Klawonn, Martin Lanser, Janine Weber:
Machine Learning in Adaptive FETI-DP: Reducing the Effort in Sampling. ENUMATH 2019: 593-603 - 2018
- [c1]Fabrizio Montesi, Janine Weber:
From the decorator pattern to circuit breakers in microservices. SAC 2018: 1733-1735
Informal and Other Publications
- 2024
- [i5]Axel Klawonn, Martin Lanser, Janine Weber:
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition. CoRR abs/2408.14442 (2024) - 2023
- [i4]Axel Klawonn, Martin Lanser, Janine Weber:
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems. CoRR abs/2302.06564 (2023) - [i3]Axel Klawonn, Martin Lanser, Janine Weber:
Machine learning and domain decomposition methods - a survey. CoRR abs/2312.14050 (2023) - [i2]Axel Klawonn, Martin Lanser, Janine Weber:
Learning Adaptive Constraints in Nonlinear FETI-DP Methods. CoRR abs/2312.14252 (2023) - 2016
- [i1]Fabrizio Montesi, Janine Weber:
Circuit Breakers, Discovery, and API Gateways in Microservices. CoRR abs/1609.05830 (2016)
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