Benno Kuckuck

According to our database1, Benno Kuckuck authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory.
CoRR, 2023

Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the L<sup>p</sup>-sense.
CoRR, 2023

2022
Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions.
CoRR, 2022

2021
Deep neural network approximation theory for high-dimensional functions.
CoRR, 2021

Strong L<sup>p</sup>-error analysis of nonlinear Monte Carlo approximations for high-dimensional semilinear partial differential equations.
CoRR, 2021

2020
An overview on deep learning-based approximation methods for partial differential equations.
CoRR, 2020

2019
Full error analysis for the training of deep neural networks.
CoRR, 2019

Duplication monotonicity in the allocation of indivisible goods.
AI Commun., 2019

Refugee Allocation in the Setting of Hedonic Games.
Proceedings of the Algorithmic Decision Theory - 6th International Conference, 2019

2018
Sequential Allocation Rules are Separable: Refuting a Conjecture on Scoring-Based Allocation of Indivisible Goods.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Monotonicity, Duplication Monotonicity, and Pareto Optimality in the Scoring-Based Allocation of Indivisible Goods.
Proceedings of the Agreement Technologies - 6th International Conference, 2018


  Loading...