Generative Model for the Inverse Design of Metasurfaces

10.1038/nmat3839

10.1126/science.1232009

10.1126/science.1253213

10.1002/lpor.201600106

10.1126/science.1242818

10.1021/nl503104n

10.1038/nmat3278

10.1038/nnano.2015.2

10.1103/PhysRevLett.110.197401

10.1038/nnano.2015.186

10.1021/acsnano.5b04373

10.1038/nmat4267

10.1038/nphys4035

10.1109/JSTARS.2014.2329330

10.1038/nature25978

10.1016/S0045-7825(99)00394-1

10.1073/pnas.1714936115

10.1364/OE.21.013351

10.1038/nphoton.2015.69

10.1364/PRJ.6.000B82

10.1038/s41598-018-19796-y

10.1103/PhysRevApplied.9.044030

10.1021/acs.nanolett.7b01082

10.1038/nnano.2016.224

10.1109/20.250786

10.1109/TMTT.2008.919078

10.1021/acsphotonics.7b01377

10.1126/sciadv.aar4206

Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; Bengio, Y. In Generative adversarial nets; Advances in Neural Information Processing Systems, Ghahramani, Z.; Welling, M.; Cortes, C.; Lawrence, N.D.; Weinberger, K. Q., Eds. Curran Associates: Red Hook, NY, 2014; pp 2672–2680.

Radford, A.; Metz, L.; Chintala, S. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arXiv preprint arXiv:1511.06434 2015 (accessed Nov 19, 2015).

Arjovsky, M.; Chintala, S.; Bottou, L. In Wasserstein Generative Adversarial Networks; International Conference on Machine Learning, Proceedings of the 34th International Conference on Machine Learning, Sydney, Australia, 2017; PMLR, Vol. 70, 214–223.

Gulrajani, I.; Ahmed, F.; Arjovsky, M.; Dumoulin, V.; Courville, A. C. In Improved Training of Wasserstein GANs; Advances in Neural Information Processing Systems, Guyon, I.; Luxburg, U. V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; Garnett, R., Eds. Curran Associates: Red Hook, NY, 2017; pp 5769–5779.

LeCun Y., 1995, Neural Networks: The Statistical Mechanics Perspective, 271