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Rakesh Sarma
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2020 – today
- 2024
- [j3]Rishabh Puri, Junya Onishi, Mario Rüttgers, Rakesh Sarma, Makoto Tsubokura, Andreas Lintermann:
On the choice of physical constraints in artificial neural networks for predicting flow fields. Future Gener. Comput. Syst. 161: 361-375 (2024) - [j2]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:
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. Quantum Mach. Intell. 6(2): 59 (2024) - 2023
- [j1]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): 96 (2023) - [c3]Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann:
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods. AutoML 2023: 12/1-17 - [c2]Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann:
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision. SC Workshops 2023: 1776-1779
2010 – 2019
- 2015
- [c1]Bitopan Das, Mridusmita Talukdar, Rakesh Sarma, Shyamanta M. Hazarika:
Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis. IHCI 2015: 192-197
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last updated on 2024-10-07 21:21 CEST by the dblp team
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