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