Hooten, Sean

4 publications

NeurIPSW 2024 Photonic KAN: A Kolmogorov-Arnold Network Inspired Efficient Photonic Neuromorphic Architecture Yiwei Peng, Sean Hooten, Thomas Van Vaerenbergh, Xian Xiao, Marco Fiorentino, Raymond G Beausoleil

NeurIPSW 2024 SepONet: Efficient Large-Scale Physics-Informed Operator Learning Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang

TMLR 2024 Separable Operator Networks Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang

NeurIPSW 2021 Generative Neural Network Based Non-Convex Optimization Using Policy Gradients with an Application to Electromagnetic Design Sean Hooten, Sri Krishna` Vadlamani, Raymond G. Beausoleil, Thomas Van Vaerenbergh