Alejandro Molina - Concepedia

Author

Alejandro Molina

Also Known As

A. Molina, Alejandro Molina, Alejandro Molina Ramirez, Molina Alejandro, Molina Ramirez, Alejandro, Molina, A, Molina, Alejandro, Ángela De la Hoz Molina

Publications

808

Citations

H-Index

Concepts

All Affiliations

Technical University of Darmstadt TU Dortmund University University of Cambridge University of Bari Aldo Moro Karlsruhe University of Applied Sciences

About

Alejandro Molina is an author at Technical University of Darmstadt specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	18	666
2	Management	3	3	230
3	Social Sciences	2	2	36
4	Business	1	1	14
5	Chemical Engineering	1	1	46

Alejandro Molina

Publications

708

Citations

H-Index

Page 1

	Year	Citations
DeepDB Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Proceedings of the VLDB Endowment Unseen QueriesMachine LearningEngineeringData ScienceData Mining	2020	201
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Proceedings of the AAAI Conference on Artificial Intelligence Structured PredictionEngineeringMachine LearningMixed Sum-product NetworksMixed Spns	2018	78
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
A virtual laboratory to support chemical reaction engineering courses using real-life problems and industrial software Juan David Hernández Ramirez, David Soto, Sebastián Fernández López, Education for Chemical Engineers Process DesignChemical EngineeringEngineeringVirtual EngineeringIndustrial Engineering	2020	46
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
Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data Fabian Hadiji, Alejandro Molina, Sriraam Natarajan, Machine Learning Latent ModelingEngineeringMachine LearningData SciencePredictive Analytics	2015	31
LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches Christoph Ide, Fabian Hadiji, Lars Habel, Intelligent Traffic ManagementEngineeringMachine LearningData ScienceMachine Learning Approaches	2015	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
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions Alejandro Molina, Sriraam Natarajan, Kristian Kersting Proceedings of the AAAI Conference on Artificial Intelligence Geometric LearningEngineeringMachine LearningDeep ArchitectureMultivariate Count Data	2017	25
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic\n Circuits Robert Peharz, Steven Lang, Antonio Vergari, arXiv (Cornell University)	2020	25

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