Marcel Aach

12 papers C 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems.
Future Gener. Comput. Syst.
Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann
2025 C conf
Optimizing Edge AI Models on HPC Systems with the Edge in the Loop.
ISC
Marcel Aach, Cyril Blanc, Andreas Lintermann, Kurt De Grave
2025 J jnl
Optimizing edge AI models on HPC systems with the edge in the loop.
CoRR
Marcel Aach, Cyril Blanc, Andreas Lintermann, Kurt De Grave
2024 J jnl
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization.
Quantum Mach. Intell.
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
2024 J jnl
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations.
Future Gener. Comput. Syst.
Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
2024 J jnl
Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems.
CoRR
Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann
2023 — conf
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC.
MIPRO
Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Marcel Aach, J. Busch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, Helmut Neukirchen, Matthias Book
2023 J jnl
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks.
J. Big Data
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
2023 — conf
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods.
AutoML
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
2023 — conf
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision.
SC Workshops
Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann
2022 C conf
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification.
IGARSS
Marcel Aach, Rocco Sedona, Andreas Lintermann, Gabriele Cavallaro, Helmut Neukirchen, Morris Riedel
2021 J jnl
Generalization over different cellular automata rules learned by a deep feed-forward neural network.
CoRR
Marcel Aach, Jens Henrik Göbbert, Jenia Jitsev