2 papers
cs.NE2023
Genetically Modified Wolf Optimization with Stochastic Gradient Descent for Optimising Deep Neural Networks
Manuel Bradicic, Michal Sitarz, Felix Sylvest Olesen
When training Convolutional Neural Networks (CNNs) there is a large emphasis on creating efficient optimization algorithms and highly accurate networks. The state-of-the-art method…
astro-ph.GA2022
Coupling Semi-Analytic and N-body Galaxies (CoSANG) for cosmological stellar halo simulations I- Methods and the structure of dark matter halos
Shahram Talei, Krista Mccord, Jeremy Bailin +6
We present CoSANG (Coupling Semi-Analytic and N-body Galaxies), a new hybrid model for cosmological dark matter and stellar halo simulations. In this approach a collisionless model…