Marcel Aach
Orcid: 0000-0002-7861-0672
According to our database1,
Marcel Aach
authored at least 8 papers
between 2021 and 2024.
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Bibliography
2024
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization.
Quantum Mach. Intell., December, 2024
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations.
Future Gener. Comput. Syst., 2024
2023
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks.
J. Big Data, December, 2023
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods.
Proceedings of the International Conference on Automated Machine Learning, 2023
2022
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Generalization over different cellular automata rules learned by a deep feed-forward neural network.
CoRR, 2021