Open Access
| Issue |
MATEC Web Conf.
Volume 321, 2020
The 14th World Conference on Titanium (Ti 2019)
|
|
|---|---|---|
| Article Number | 11084 | |
| Number of page(s) | 6 | |
| Section | Microstructure - Properties Relationships | |
| DOI | https://doi.org/10.1051/matecconf/202032111084 | |
| Published online | 12 October 2020 | |
- Fullwood, W., Niezgoda, S., Kalidindi, S., “Microstructure reconstructions from 2-point statistics using phase-recovery algorithms”, Acta Materialia 56(5):942:948, 2008. [CrossRef] [Google Scholar]
- Simonyan, K. and Zisserman, A., “Very deep convolutional networks for large-scale image Recognition”, arXiv preprint arXiv:1409.1556. 2014. [Google Scholar]
- Gatys, L., Ecker A.S. and Bethge, M., “Texture synthesis using convolutional neural networks. In Advances in Neural Information Processing Systems”, (pp. 262-270). 2015 [Google Scholar]
- Lubbers, N., Lookman, T., Barros, K., “Inferring low-dimensional microstructure representations using convolutional neural networks”, arXiv:1611.02764v1. 2016 [Google Scholar]
- Larsen A.B.L, Sonderby, S, Larochelle, H. and Winther, O., “Autoencoding beyond pixels using a learned similarity metric”, arXiv:1512.09300v2 [cs.LG] 10 Feb 2016 [Google Scholar]
- LeCun Y, Bengio Y., “Convolutional networks for images, speech, and time series”, The Handbook of Brain Theory and Neural Networks. Apr; 3361(10):1995. [Google Scholar]
- Erhan, D., Courville, A., and Bengio, Y., “Understanding representations learned in deep architectures. Department d’Informatique et Recherche Operationnelle, University of Montreal, QC, Canada, Tech. Rep, 1355, 2010. [Google Scholar]
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