Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis. - Bitopan Das; Mridusmita Talukdar; Rakesh Sarma; Shyamanta M. Hazarika (IHCI, 2015)

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

On the choice of physical constraints in artificial neural networks for predicting flow fields. - Rishabh Puri; Junya Onishi; Mario Rüttgers; Rakesh Sarma; Makoto Tsubokura; 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)

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)