Ian A. D. Williamson

According to our database, Ian A. D. Williamson authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks.

Sunil Pai, Zhanghao Sun, Tyler W. Hughes, Taewon Park, Ben Bartlett, Ian A. D. Williamson, Momchil Minkov, Maziyar Milanizadeh, Nathnael Abebe, Francesco Morichetti, Andrea Melloni, Shanhui Fan, Olav Solgaard, David A. B. Miller

CoRR, 2022

Massively parallel pixel-by-pixel nanophotonic optimization using a Green's function formalism.

Jiahui Wang, Alfred K. C. Cheung, Aleksandra Spyra, Ian A. D. Williamson, Jian Guan, Martin F. Schubert

CoRR, 2022

Inverse design of photonic devices with strict foundry fabrication constraints.

Martin F. Schubert, Alfred K. C. Cheung, Ian A. D. Williamson, Aleksandra Spyra, David H. Alexander

CoRR, 2022

2020

Integrated Nonreciprocal Photonic Devices With Dynamic Modulation.

Ian A. D. Williamson, Momchil Minkov, Avik Dutt, Jiahui Wang, Alex Y. Song, Shanhui Fan

Proc. IEEE, 2020

Inverse design of photonic crystals through automatic differentiation.

Momchil Minkov, Ian A. D. Williamson, Lucio C. Andreani, Dario Gerace, Beicheng Lou, Alex Y. Song, Tyler W. Hughes, Shanhui Fan

CoRR, 2020

2019

Parallel fault-tolerant programming of an arbitrary feedforward photonic network.

Sunil Pai, Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Olav Solgaard, Shanhui Fan, David A. B. Miller

CoRR, 2019

Forward-Mode Differentiation of Maxwell's Equations.

Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan

CoRR, 2019

Wave Physics as an Analog Recurrent Neural Network.

Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan

CoRR, 2019

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks.

Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Ben Bartlett, Sunil Pai, Shanhui Fan

CoRR, 2019