Large-Scale Optical Neural Networks based on Photoelectric Multiplication. - Ryan Hamerly; Alex Sludds; Liane Bernstein; Marin Soljacic; Dirk R. Englund (CoRR, 2018)

Freely scalable and reconfigurable optical hardware for deep learning. - Liane Bernstein; Alexander Sludds; Ryan Hamerly; Vivienne Sze; Joel S. Emer; Dirk R. Englund (CoRR, 2020)

IOI: In-network Optical Inference. - Zhizhen Zhong; Weiyang Wang; Manya Ghobadi; Alexander Sludds; Ryan Hamerly; Liane Bernstein; Dirk R. Englund (OptSys@SIGCOMM, 2021)

Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. - Ryan Hamerly; Saumil Bandyopadhyay; Alexander Sludds; Dirk R. Englund (OFC, 2022)

Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. - Alexander Sludds; Ryan Hamerly; Saumil Bandyopadhyay; Zhizhen Zhong; Zaijun Chen; Liane Bernstein; Manya Ghobadi; Dirk R. Englund (OFC, 2022)

Coherent VCSEL Network Computing. - Zaijun Chen; Alexander Sludds; Ronald Davis; Ian Christen; Lamia Ateshian; Liane Bernstein; Tobias Heuser; Niels Heermeier; James A. Lott; Stephan Reitzenstein; Ryan Hamerly; Dirk R. Englund (OECC/PSC, 2022)

WDM-Enabled Photonic Edge Computing. - Alexander Sludds; Ryan Hamerly; Saumil Bandyopadhyay; Zaijun Chen; Zhizhen Zhong; Liane Bernstein; Manya Ghobadi; Dirk R. Englund (OECC/PSC, 2022)

Delocalized Photonic Deep Learning on the Internet's Edge. - Alexander Sludds; Saumil Bandyopadhyay; Zaijun Chen; Zhizhen Zhong; Jared Cochrane; Liane Bernstein; Darius Bunandar; P. Ben Dixon; Scott A. Hamilton; Matthew Streshinsky; Ari Novack; Tom Baehr Jones; et al. (CoRR, 2022)

Single-Shot Optical Neural Network. - Liane Bernstein; Alexander Sludds; Christopher Panuski; Sivan Trajtenberg-Mills; Ryan Hamerly; Dirk R. Englund (CoRR, 2022)

Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. - Ryan Hamerly; Alexander Sludds; Saumil Bandyopadhyay; Zaijun Chen; Zhizhen Zhong; Liane Bernstein; Dirk R. Englund (CoRR, 2022)

Deep Learning with Coherent VCSEL Neural Networks. - Zaijun Chen; Alexander Sludds; Ronald Davis; Ian Christen; Liane Bernstein; Tobias Heuser; Niels Heermeier; James A. Lott; Stephan Reitzenstein; Ryan Hamerly; Dirk R. Englund (CoRR, 2022)

Single chip photonic deep neural network with accelerated training. - Saumil Bandyopadhyay; Alexander Sludds; Stefan Krastanov; Ryan Hamerly; Nicholas C. Harris; Darius Bunandar; Matthew Streshinsky; Michael Hochberg; Dirk R. Englund (CoRR, 2022)

A Phase-Optimal Linear Photonic Architecture. - Ryan Hamerly; Alexander Sludds; Dirk R. Englund (PSC, 2023)

Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. - Zhizhen Zhong; Mingran Yang; Jay Lang; Christian Williams; Liam Kronman; Alexander Sludds; Homa Esfahanizadeh; Dirk R. Englund; Manya Ghobadi (SIGCOMM, 2023)

Delocalized Photonic Deep Learning on the Internet's Edge - Alexander Sludds (2023)

Hypermultiplexed Integrated Tensor Optical Processor. - Shaoyuan Ou; Alexander Sludds; Ryan Hamerly; Ke Zhang; Hanke Feng; Eric Zhong; Cheng Wang; Dirk R. Englund; Mengjie Yu; Zaijun Chen (CoRR, 2024)

Towards the Information-Theoretic Limit of Programmable Photonics. - Ryan Hamerly; Jasvith Raj Basani; Alexander Sludds; Sri Krishna Vadlamani; Dirk R. Englund (CoRR, 2024)

Monolithically Integrated Microring Transmitter and Receiver for High-Density 3D Co-Packaged Optics. - Reza Baghdadi; Carlos Dorta-Quinones; Alexander Sludds; Shashank Gupta; Pietro Ciccarella; Bryce Gardiner; Joyce K. S. Poon; Darius Bunandar; Nicholas C. Harris (OFC, 2025)

A Three-Terminal Nanophotonic Integrator for Deep Neural Networks. - Saumil Bandyopadhyay; Kfir Sulimany; Alexander Sludds; Ryan Hamerly; Keren Bergman; Dirk R. Englund (OFC, 2025)