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Papers matching “hyperparameter sensitivity” 17

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A new multi-objective hyperparameter optimization algorithm for COVID-19 detection from x-ray images
2024 Soft Computing article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Burak Gülmez

15

citations
Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jianye Xu, Bassam Alrifaee

0

citations
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training
2020 conference-paper Computer Science Machine Learning and Data Classification

Philipp Gräbel, Gregor Nickel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, +3 more

3

citations
Adaptive random Fourier features training stabilized by resampling with applications in image regression
2025 Foundations of Data Science article Computer Science Stochastic Gradient Optimization Techniques Open access

Aku Kammonen, Anamika Pandey, Erik von Schwerin, Raul F. Tempone

0

citations
Quantum generative modeling for financial time series with temporal correlations
2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

David Dechant, Eliot Jan Etienne Schwander, Lucas Van Drooge, Charles Moussa, Diego Garlaschelli, Vedran Dunjko, +1 more

3

citations
Explainable Benchmarking for Iterative Optimization Heuristics
2025 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck

13

citations
Explainable Benchmarking for Iterative Optimization Heuristics
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck

2

citations
Field theory for optimal signal propagation in ResNets
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Kirsten Fischer, David Dahmen, Moritz Helias

1

citations
Field theory for optimal signal propagation in residual networks
2025 Physical review. E article Computer Science Neural Networks and Applications Open access

Kirsten Fischer, David Dahmen, Moritz Helias

0

citations
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance
2022 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck

22

citations
How to pick the best anomaly detector?
2026 Physical review. D/Physical review. D. article Computer Science Anomaly Detection Techniques and Applications Open access

Marie Hein, Gregor Kasieczka, Michael Krämer, L. Moureaux, Alexander Mück, David Shih

0

citations
Utility-aware Social Network Anonymization using Genetic Algorithms
2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Privacy-Preserving Technologies in Data Open access

Samuel Bonello, R. Jong, Thomas Bäck, Frank W. Takes

1

citations
Recurrent Phase Reconstruction Using Estimated Phase Derivatives from Deep Neural Networks
2021 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech and Audio Processing

Lars Thieling, Peter Jax

14

citations
Federated BrainAge estimation from MRI: a proof of concept
2023 Alzheimer s & Dementia article Computer Science Privacy-Preserving Technologies in Data Open access

Pedro Mateus, Swier J.F. Garst, Davy Cats, Iñigo Bermejo Delgado, Gennady V. Roshchupkin, Marcel J. T. Reinders, +3 more

4

citations
Norm Loss: An efficient yet effective regularization method for deep neural networks
2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Computer Science Advanced Neural Network Applications

Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew

3

citations
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks
2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew

1

citations
Deep Learning-Based Anomaly Detection in Energy Consumption Data of Buildings: A Comparative Study
2025 conference-paper Computer Science Anomaly Detection Techniques and Applications

Lukas Schnittcher, Marc Oyen, Lena Charlotte Altherr

0

citations

17 results