Neuronale Netze effizienter trainieren
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Zukunft gestalten: smart, effizient und nachhaltig
Volume 2 (2025), Edition 7-8
- Authors:
- , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
- Publisher
- VDI fachmedien, Düsseldorf
- Publication year
- 2025
- ISSN-Online
- 2942-7347
- ISSN-Print
- 2942-7347
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Volume 2 (2025), Edition 7-8
Neuronale Netze effizienter trainieren
- Authors:
- ISSN-Print
- 2942-7347
- ISSN-Online
- 2942-7347
- Preview:
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- [1] Bolager, E. L.; Burak, I.; Datar, C.; Sun, Q.; Dietrich, F.: Sampling Weights of Deep Neural Networks. In Advances in Neural Information Processing Systems (NeurIPS), 36:63075-116, 2023. Curran Associates, Inc., https://proceedings.neurips.cc/paper_files/ paper/2023/hash/c7201deff8d507a8fe2e86d 34094e154-Abstract-Conference.html. Open Google Scholar
- [2] Rahma, A.; Datar, C.; Cukarska, A.; Dietrich, F.: Rapid Training of Hamiltonian Graph Networks without Gradient Descent. 2025, Pre-print, https://doi.org/10.48550/arXiv.2506.06558. Open Google Scholar
- [3] Rahma, A.; Datar, C.; Dietrich, F.: Training Hamiltonian Neural Networks without Backpropagation. Machine Learning and the Physical Sciences Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS), 2024, https://neurips.cc/virtual/2024/99994. Open Google Scholar
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