Robin Graeber

1. Deep neural network approximation theory for high-dimensional functions
   2021/12/29 by Pierfrancesco Beneventano, Patrick Cheridito, Beneventano, Pierfrancesco +7 · 2 citations
   Computer Science · Mathematics · #FOS: Mathematics #Mathematical Approximation and Integration #Neural Networks and Applications #Numerical Analysis (math.NA)
2. Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates
   2024/07/11 by Steffen Dereich, Robin Graeber, Dereich, Steffen +3 · 4 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Machine Learning and ELM