6 citations · 10 across the 3 of their papers we have counts for
3 papers
physics.optics2024★ 6 cited
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture
Yiwei Peng, Sean Hooten, Xinling Yu +7
Kolmogorov-Arnold Networks (KAN) models were recently proposed and claimed to provide improved parameter scaling and interpretability compared to conventional multilayer perceptron…
cs.ET2024★ 1 cited
Computing High-Degree Polynomial Gradients in Memory
T. Bhattacharya, G. H. Hutchinson, G. Pedretti +6
Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms, e.g., based on gradient descent or conjugate gra…
cs.CE2023★ 3 cited
Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids
Sean Hooten, Peng Sun, Liron Gantz +3
Shape optimization approaches to inverse design offer low-dimensional, physically-guided parameterizations of structures by representing them as combinations of shape primitives. H…