Concepedia
Statistics
Publications
5
Citations
208
H-Index
Active since
2019
Affiliations
ETH Zurich(Current)
University of Münster
Shenzhen Research Institute of Big Data
Chinese University of Hong Kong, Shenzhen
Benno Kuckuck is an author at ETH Zurich specializing in deep learning, machine learning, and engineering.
Top concepts
EngineeringDeep LearningMachine LearningData ScienceComputer ScienceNumerical AnalysisMultiphysics ModelingPhysicsNatural SciencesNumerical Methods
Publications per year
2019–2023
An overview on deep learning-based approximation methods for partial differential equations
Christian Beck, Martin Hutzenthaler, Arnulf Jentzen et al. · Discrete and Continuous Dynamical Systems - B · 2022 · 75 citations · Full text
Strong error analysis for stochastic gradient descent optimization algorithms
Arnulf Jentzen, Benno Kuckuck, Ariel Neufeld et al. · IMA Journal of Numerical Analysis · 2019 · 46 citations · Full text
Full error analysis for the training of deep neural networks
Christian Beck, Arnulf Jentzen, Benno Kuckuck · Infinite Dimensional Analysis Quantum Probability and Related Topics · 2022 · 42 citations · Full text
Artificial Intelligence, Convolutional Neural Network, Engineering +13
Christian Beck, Martin Hutzenthaler, Arnulf Jentzen et al. · arXiv (Cornell University) · 2020 · 31 citations · Full text
Numerical Analysis, Engineering, Machine Learning +13
Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions
Victor Boussange, S. Becker, Arnulf Jentzen et al. · Partial Differential Equations and Applications · 2023 · 14 citations · Full text
Numerical Analysis, Engineering, Machine Learning +19
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