| Nanophotonic particle simulation and inverse design using artificial neural networks J Peurifoy, Y Shen, L Jing, Y Yang, F Cano-Renteria, BG DeLacy, ... Science advances 4 (6), eaar4206, 2018 | 761 | 2018 |
| Tunable efficient unitary neural networks (eunn) and their application to rnns L Jing, Y Shen, T Dubcek, J Peurifoy, S Skirlo, Y LeCun, M Tegmark, ... International Conference on Machine Learning, 1733-1741, 2017 | 209 | 2017 |
| Gated orthogonal recurrent units: On learning to forget L Jing, C Gulcehre, J Peurifoy, Y Shen, M Tegmark, M Soljacic, Y Bengio Neural computation 31 (4), 765-783, 2019 | 139 | 2019 |
| Meta-learning autoencoders for few-shot prediction T Wu, J Peurifoy, IL Chuang, M Tegmark arXiv preprint arXiv:1807.09912, 2018 | 23 | 2018 |
| Nanophotonic inverse design using artificial neural network J Peurifoy, Y Shen, Y Yang, L Jing, F Cano-Renteria, J Joannopoulos, ... Frontiers in Optics, FTh4A. 4, 2017 | 18 | 2017 |
| Systems and methods for training neural networks M Soljacic, Y Shen, L Jing, T Dubcek, S Skirlo, JE Peurifoy, ME Tegmark US Patent App. 15/820,906, 2018 | 8 | 2018 |
| Nanophotonic particle simulation and inverse design using artificial neural networks. Sci Adv 4: eaar4206 J Peurifoy, Y Shen, L Jing, Y Yang, F Cano-Renteria, BG DeLacy, ... | 3 | 2018 |
| The physics of artificial intelligence JE Peurifoy Massachusetts Institute of Technology, 2018 | | 2018 |
