Selina Drews

1. Analysis of the expected L₂ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization
   2023/11/24 by Selina Drews, Drews, Selina, Michael Köhler +1 · 2 citations
   Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Stochastic Gradient Optimization Techniques #Medical Imaging Techniques and Applications
2. On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent
   2022/08/30 by Selina Drews, Drews, Selina, Michael Köhler +1 · 1 citation
   Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Mathematics #Numerical methods in inverse problems #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques