Simon Wiedemann - Concepedia

Author

Simon Wiedemann

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute ORCID

Also Known As

Ellinger, S. Wiedemann, Simon M. Wiedemann, Simon Wiedemann, Wiedemann, S.; Kennel, R., Wiedemann, Simon

Publications

684

Citations

H-Index

Concepts

All Affiliations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute Technische Universität Berlin

About

Simon Wiedemann is an author at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute specializing in engineering, computer engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	98
2	Computer Engineering	3	3	83
3	Computer Science	3	3	80
4	Business	1	1	52
5	Data Science	1	1	15

Simon Wiedemann

Publications

533

Citations

H-Index

Page 1

	Year	Citations
Pruning by explaining: A novel criterion for deep neural network pruning Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Pattern Recognition	2021	239
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data Felix Sattler, Simon Wiedemann, Klaus‐Robert Müller, IEEE Transactions on Neural Networks and Learning Systems	2019	81
Simulation of Deployment of a Flexible Solar Array Oskar Wallrapp, Simon Wiedemann Multibody System Dynamics	2002	63
A discrete-time queueing network approach to performance evaluation of autonomous vehicle storage and retrieval systems Martin Epp, Simon Wiedemann, Kai Furmans International Journal of Production Research Vehicle CommunicationEngineeringQueueing TheoryOperations ResearchLogistics	2016	52
A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography Simon Wiedemann, Reinhard Heckel Nature Communications	2024	42
Simultaneous Identification of Inverter and Machine Nonlinearities for Self-Commissioning of Electrical Synchronous Machine Drives Simon Wiedemann, Christoph M. Hackl IEEE Transactions on Energy Conversion Electrical EngineeringIndustrial ElectronicsEngineeringArtificial Neural NetworksElectric Machine	2023	18
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler, Simon Wiedemann, Klaus‐Robert Müller, Distributed Source CodingConvolutional Neural NetworkEngineeringMachine LearningData Science	2019	15
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T) Arturo Marbán, Daniel Becking, Simon Wiedemann, Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningTernary Network Representation	2020	13
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural\n network compression Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, arXiv (Cornell University)	2019	10

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