Marcel Aach

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Neural Architecture

Resource Allocation

Learning Frameworks

Top Venues

Future Gener. Comput. Syst.

Publications

Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. Future Gener. Comput. Syst. 159 (2024)
Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Marcel Aach, J. Busch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, Helmut Neukirchen, Matthias Book
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC. MIPRO (2023)
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks. J. Big Data 10 (1) (2023)
Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision. SC Workshops (2023)
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods. AutoML (2023)
Marcel Aach, Rocco Sedona, Andreas Lintermann, Gabriele Cavallaro, Helmut Neukirchen, Morris Riedel
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification. IGARSS (2022)
Marcel Aach, Jens Henrik Göbbert, Jenia Jitsev
Generalization over different cellular automata rules learned by a deep feed-forward neural network. CoRR (2021)