| Large-scale optical neural networks based on photoelectric multiplication R Hamerly, L Bernstein, A Sludds, M Soljačić, D Englund Physical Review X 9 (2), 021032, 2019 | 406 | 2019 |
| Delocalized Photonic Deep Learning on the Internet's Edge A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, J Cochrane, L Bernstein, ... Science 378 (6617), 270-276, 2022 | 80 | 2022 |
| Freely scalable and reconfigurable optical hardware for deep learning L Bernstein, A Sludds, R Hamerly, V Sze, J Emer, D Englund Scientific reports 11 (1), 3144, 2021 | 64 | 2021 |
| Single chip photonic deep neural network with accelerated training S Bandyopadhyay, A Sludds, S Krastanov, R Hamerly, N Harris, ... arXiv preprint arXiv:2208.01623, 2022 | 55 | 2022 |
| Deep learning with coherent VCSEL neural networks Z Chen, A Sludds, R Davis III, I Christen, L Bernstein, L Ateshian, ... Nature Photonics 17 (8), 723-730, 2023 | 42 | 2023 |
| Towards large-scale photonic neural-network accelerators R Hamerly, A Sludds, L Bernstein, M Prabhu, C Roques-Carmes, ... 2019 IEEE international electron devices meeting (IEDM), 22.8. 1-22.8. 4, 2019 | 23 | 2019 |
| Single-shot optical neural network L Bernstein, A Sludds, C Panuski, S Trajtenberg-Mills, R Hamerly, ... Science Advances 9 (25), eadg7904, 2023 | 21 | 2023 |
| IOI: In-network optical inference Z Zhong, W Wang, M Ghobadi, A Sludds, R Hamerly, L Bernstein, ... Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, 18-22, 2021 | 12 | 2021 |
| The future of deep learning is photonic: Reducing the energy needs of neural networks might require computing with light R Hamerly IEEE Spectrum 58 (7), 30-47, 2021 | 12 | 2021 |
| Lightning: A reconfigurable photonic-electronic smartnic for fast and energy-efficient inference Z Zhong, M Yang, J Lang, C Williams, L Kronman, A Sludds, ... Proceedings of the ACM SIGCOMM 2023 Conference, 452-472, 2023 | 10 | 2023 |
| Edge computing with optical neural networks via WDM weight broadcasting R Hamerly, A Sludds, S Bandyopadhyay, L Bernstein, Z Chen, M Ghobadi, ... Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 55-60, 2021 | 5 | 2021 |
| WDM-Enabled Photonic Edge Computing A Sludds, R Hamerly, S Bandyopadhyay, Z Chen, Z Zhong, L Bernstein, ... 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 …, 2022 | 4 | 2022 |
| Digital optical neural networks for large-scale machine learning L Bernstein, A Sludds, R Hamerly, V Sze, J Emer, D Englund 2020 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2020 | 4 | 2020 |
| A photonic deep neural network processor on a single chip with optically accelerated training S Bandyopadhyay, A Sludds, S Krastanov, R Hamerly, N Harris, ... 2023 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2023 | 3 | 2023 |
| Netcast: low-power edge computing with WDM-defined optical neural networks R Hamerly, A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, L Bernstein, ... arXiv preprint arXiv:2207.01777, 2022 | 3 | 2022 |
| Coherent VCSEL network computing Z Chen, A Sludds, R Davis, I Christen, L Ateshian, L Bernstein, T Heuser, ... 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 …, 2022 | 3 | 2022 |
| Design of asymptotically perfect linear feedforward photonic circuits R Hamerly, S Bandyopadhyay, A Sludds, D Englund Optical Fiber Communication Conference, W2A. 5, 2022 | 3 | 2022 |
| A scalable optical neural network architecture using coherent detection A Sludds, L Bernstein, R Hamerly, M Soljacic, D Englund AI and Optical Data Sciences 11299, 33-41, 2020 | 3 | 2020 |
| Wavelength multiplexed ultralow-power photonic edge computing A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, L Bernstein, D Bunandar, ... arXiv e-prints, arXiv: 2203.05466, 2022 | 2 | 2022 |
| Photonic crystal cavity IQ modulators in thin-film lithium niobate for coherent communications H Larocque, DLP Vitullo, A Sludds, H Sattari, I Christen, G Choong, ... arXiv preprint arXiv:2312.16746, 2023 | 1 | 2023 |
Dirk EnglundAssociate Professor, MITPotvrđena adresa e-pošte na mit.edu
