Tyler W. Hughes

According to our database, Tyler W. Hughes authored at least 8 papers between 2018 and 2026.

Collaborative distances:

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

2026

BONNI: Gradient-Informed Bayesian and Interior Point Optimization for Efficient Inverse Design in Nanophotonics.

Yannik Mahlau, Yannick Augenstein, Tyler W. Hughes, Marius Lindauer, Bodo Rosenhahn

CoRR, February, 2026

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

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

2018

Training of photonic neural networks through in situ backpropagation.

Tyler W. Hughes, Momchil Minkov, Yu Shi, Shanhui Fan

CoRR, 2018