69 citations · 452 across the 35 of their papers we have counts for
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Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym
Elena Raponi, Nathanael Rakotonirina Carraz, Jérémy Rapin +2
The growing ubiquity of machine learning (ML) has led it to enter various areas of computer science, including black-box optimization (BBO). Recent research is particularly concern…
Illustrated tutorial on global optimization in nanophotonics
Pauline Bennet, Denis Langevin, Chaymae Essoual +4
Numerical optimization for the inverse design of photonic structures is a tool which is providing increasingly convincing results -- even though the wave nature of problems in phot…
PyMoosh : a comprehensive numerical toolkit for computing the optical properties of multilayered structures
Denis Langevin, Pauline Bennet, Abdourahman Khaireh-Walieh +3
We present PyMoosh, a Python-based simulation library designed to provide a comprehensive set of numerical tools allowing to compute essentially all optical characteristics of mult…
A newcomer's guide to deep learning for inverse design in nano-photonics
Abdourahman Khaireh-Walieh, Denis Langevin, Pauline Bennet +3
Nanophotonic devices manipulate light at sub-wavelength scales, enabling tasks such as light concentration, routing, and filtering. Designing these devices is a challenging task. T…