Daniel N. Wilke
Orcid: 0000-0002-8718-330X
According to our database1,
Daniel N. Wilke
authored at least 25 papers
between 2005 and 2023.
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Bibliography
2023
Gradient-only surrogate to resolve learning rates for robust and consistent training of deep neural networks.
Appl. Intell., June, 2023
A spectral regularisation framework for latent variable models designed for single channel applications.
CoRR, 2023
CoRR, 2023
A Novel and Fully Automated Domain Transformation Scheme for Near Optimal Surrogate Construction.
CoRR, 2023
2022
Parametric Circuit Fault Diagnosis Through Oscillation-Based Testing in Analogue Circuits: Statistical and Deep Learning Approaches.
IEEE Access, 2022
2021
Resolving learning rates adaptively by locating stochastic non-negative associated gradient projection points using line searches.
J. Glob. Optim., 2021
An empirical study into finding optima in stochastic optimization of neural networks.
Inf. Sci., 2021
Traction chain networks: Insights beyond force chain networks for non-spherical particle systems.
CoRR, 2021
GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks.
CoRR, 2021
2020
Gradient-only line searches to automatically determine learning rates for a variety of stochastic training algorithms.
CoRR, 2020
Investigating the interaction between gradient-only line searches and different activation functions.
CoRR, 2020
2019
Empirical study towards understanding line search approximations for training neural networks.
CoRR, 2019
CoRR, 2019
Visual interpretation of the robustness of Non-Negative Associative Gradient Projection Points over function minimizers in mini-batch sampled loss functions.
CoRR, 2019
Adv. Eng. Softw., 2019
2018
Spatially distributed statistical significance approach for real parameter tuning with restricted budgets.
Appl. Soft Comput., 2018
A study of shape non-uniformity and poly-dispersity in hopper discharge of spherical and polyhedral particle systems using the Blaze-DEM GPU code.
Appl. Math. Comput., 2018
2016
SoftwareX, 2016
2015
Collision detection of convex polyhedra on the NVIDIA GPU architecture for the discrete element method.
Appl. Math. Comput., 2015
2014
Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs.
J. Comput. Appl. Math., 2014
Adv. Eng. Softw., 2014
2007
Reference frame and scale invariant real-parameter genetic and differential evolution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2005
Recent Developments of the Particle Swarm Optimization Algorithm.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005