Robin Graeber

According to our database, Robin Graeber authored at least 3 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates.

Steffen Dereich, Robin Graeber, Arnulf Jentzen

CoRR, 2024

2023

The necessity of depth for artificial neural networks to approximate certain classes of smooth and bounded functions without the curse of dimensionality.

Lukas Gonon, Robin Graeber, Arnulf Jentzen

CoRR, 2023

2021

Deep neural network approximation theory for high-dimensional functions.

Pierfrancesco Beneventano, Patrick Cheridito, Robin Graeber, Arnulf Jentzen, Benno Kuckuck

CoRR, 2021