Generalization over different cellular automata rules learned by a deep feed-forward neural network. - Marcel Aach; Jens Henrik Göbbert; Jenia Jitsev (CoRR, 2021)

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification. - Marcel Aach; Rocco Sedona; Andreas Lintermann; Gabriele Cavallaro; Helmut Neukirchen; Morris Riedel (IGARSS, 2022)

Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods. - Marcel Aach; Eray Inanc; Rakesh Sarma; Morris Riedel; Andreas Lintermann (AutoML, 2023)

Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC. - Morris Riedel; Chadi Barakat; Sebastian Johannes Fritsch; Marcel Aach; J. Busch; Andreas Lintermann; Andreas Schuppert; Sigurður Brynjólfsson; Helmut Neukirchen; Matthias Book (MIPRO, 2023)

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision. - Marcel Aach; Rakesh Sarma; Eray Inanc; Morris Riedel; Andreas Lintermann (SC Workshops, 2023)

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks. - Marcel Aach; Eray Inanc; Rakesh Sarma; Morris Riedel; Andreas Lintermann (J. Big Data, 2023)

Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. - Xin Liu; Mario Rüttgers; Alessio Quercia; Romain Egele; Elisabeth Pfaehler; Rushikesh Shende; Marcel Aach; Wolfgang Schröder 001; Prasanna Balaprakash; Andreas Lintermann (Future Gener. Comput. Syst., 2024)

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. - Eric Wulff; Juan Pablo García Amboage; Marcel Aach; Thorsteinn Eli Gislason; Thorsteinn Kristinn Ingolfsson; Tomas Kristinn Ingolfsson; Edoardo Pasetto; Amer Delilbasic; Morris Riedel; Rakesh Sarma; Maria Girone; Andreas Lintermann (Quantum Mach. Intell., 2024)

Optimizing edge AI models on HPC systems with the edge in the loop. - Marcel Aach; Cyril Blanc; Andreas Lintermann; Kurt De Grave (CoRR, 2025)

Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems. - Marcel Aach; Rakesh Sarma; Helmut Neukirchen; Morris Riedel; Andreas Lintermann (Future Gener. Comput. Syst., 2026)