3 papers
physics.optics2026
Neural Networks for Inverse Design of Cascaded-Mode Near-Field Landscapes
Wannes Luts De Martelaere, Joeri Lenaerts, Vincent Ginis
Structuring optical near-fields is important for applications in microscopy and nanoparticle manipulation. Traditionally, near-fields are structured using antenna nanostructures th…
cs.CV2023
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
Hannah Pinson, Joeri Lenaerts, Vincent Ginis
We here present a stepping stone towards a deeper understanding of convolutional neural networks (CNNs) in the form of a theory of learning in linear CNNs. Through analyzing the gr…
cs.LG2022
Data driven design of optical resonators
Joeri Lenaerts, Hannah Pinson, Vincent Ginis
Optical devices lie at the heart of most of the technology we see around us. When one actually wants to make such an optical device, one can predict its optical behavior using comp…