Karl Stelzner - Concepedia

Author

Karl Stelzner

Technical University of Darmstadt

Also Known As

Karl Stelzner, Stelzner, K, Stelzner, Karl

Publications

279

Citations

H-Index

Concepts

All Affiliations

Technical University of Darmstadt University of Cambridge University of California, Los Angeles Graz University of Technology

About

Karl Stelzner is an author at Technical University of Darmstadt specializing in deep learning, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	209
2	Data Science	8	8	209
3	Computer Science	7	7	180
4	Natural Sciences	2	2	47
5	Computer Engineering	1	1	27

Karl Stelzner

Publications

248

Citations

H-Index

Page 1

	Year	Citations
Random sum-product networks: A simple and effective approach to probabilistic deep learning Robert Peharz, Antonio Vergari, Karl Stelzner, TU/e Research Portal Artificial IntelligenceEffective ApproachStructured PredictionDeep Neural NetworksEngineering	2019	50
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks Alejandro Molina, Antonio Vergari, Karl Stelzner, arXiv (Cornell University) Artificial IntelligenceDeep Probabilistic LearningStructured PredictionGeometric LearningEngineering	2019	32
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation Karl Stelzner, Kristian Kersting, Adam R. Kosiorek arXiv (Cornell University) EngineeringMachine LearningComputer-aided DesignUnsupervised Volume Segmentation3D Computer Vision	2021	29
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz, Steven Lang, Antonio Vergari, arXiv (Cornell University) Circuit ComplexityArtificial IntelligenceEngineeringMachine LearningAutoencoders	2020	27
Faster Attend-Infer-Repeat with Tractable Probabilistic Models. Karl Stelzner, Robert Peharz, Kristian Kersting TU/e Research Portal Scene AnalysisEngineeringMachine LearningStatistical Relational LearningImage Analysis	2019	25
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic\n Circuits Robert Peharz, Steven Lang, Antonio Vergari, arXiv (Cornell University)	2020	25
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen, Karl Stelzner, Marcel Hussing, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningField RoboticsDynamics Model	2019	18
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures Xiaoting Shao, Alejandro Molina, Antonio Vergari, arXiv (Cornell University) Artificial IntelligenceStructured PredictionGeometric LearningEngineeringMachine Learning	2019	15
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning\n using Sum-Product Networks Alejandro Molina, Antonio Vergari, Karl Stelzner, arXiv (Cornell University)	2019	14
Probabilistic Deep Learning using Random Sum-Product Networks Robert Peharz, Antonio Vergari, Karl Stelzner, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceMachine Learning Model	2018	13

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