Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning. - Sean Hooten; Thomas Van Vaerenbergh; Raymond G. Beausoleil (CoRR, 2021)

Inverse-Designed Dual Layer c-Si/SiN Vertical Grating Couplers Tested on 300mm Wafers. - Sean Hooten; Mudit Jain; Thomas Van Vaerenbergh; Peng Sun; Quentin Wilmart; M. Ashkan Seyedi; Zhihong Huang; Marco Fiorentino; Raymond G. Beausoleil (OECC/PSC, 2022)

Wavelength-Parallel Photonic Tensor Core Based on Multi-FSR Microring Resonator Crossbar Array. - Xian Xiao; Stanley Cheung; Sean Hooten; Yiwei Peng; Bassem Tossoun; Thomas Van Vaerenbergh; Geza Kurczveil; Raymond G. Beausoleil (OFC, 2023)

Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids. - Sean Hooten; Peng Sun; Liron Gantz; Marco Fiorentino; Raymond G. Beausoleil; Thomas Van Vaerenbergh (CoRR, 2023)

Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture. - Yiwei Peng; Sean Hooten; Xinling Yu; Thomas Van Vaerenbergh; Yuan Yuan 033; Xian Xiao; Bassem Tossoun; Stanley Cheung; Marco Fiorentino; Raymond G. Beausoleil (CoRR, 2024)

Separable Operator Networks. - Xinling Yu; Sean Hooten; Ziyue Liu 003; Yequan Zhao; Marco Fiorentino; Thomas Van Vaerenbergh; Zheng Zhang 005 (Trans. Mach. Learn. Res., 2024)

Silicon Photonics Platform and Optical Memory. - Yuan Yuan 033; Stanley Cheung; Yiwei Peng; Di Liang; Bassem Tossoun; Geza Kurczveil; Yingtao Hu; Wayne V. Sorin; Zhihong Huang; Xian Xiao; Antoine Descos; Sean Hooten; et al. (OFC, 2025)

Photonic KAN: a Kolmogorov-Arnold Network Inspired Efficient Neuromorphic Accelerator. - Yiwei Peng; Sean Hooten; Xinling Yu; Thomas Van Vaerenbergh; Yuan Yuan 033; Xian Xiao; Bassem Tossoun; Stanley Cheung; Marco Fiorentino; Raymond G. Beausoleil (OFC, 2025)