Antonio Vergari - Concepedia

Author

Antonio Vergari

University of California, Los Angeles ORCID

Also Known As

A. Vergari, Antonio Vergari, Diego Hidalgo-Mazzei, Vergari, A, Vergari, Antonio

110

Publications

862

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles Technical University of Darmstadt University of Cambridge University of Bari Aldo Moro TU Dortmund University

About

Antonio Vergari is an author at University of California, Los Angeles specializing in computer science, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	499
2	Computer Engineering	2	2	44
3	Management	1	1	15
4	Social Sciences	1	1	15
5	Cognitive Science	1	1	15

Antonio Vergari

Publications

599

Citations

H-Index

Page 1

	Year	Citations
From Variational to Deterministic Autoencoders Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, arXiv (Cornell University) Artificial IntelligenceGaussian VaeMachine LearningEngineeringDeep Generative Models	2019	106
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
From Variational to Deterministic Autoencoders Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, International Conference on Learning Representations Gaussian VaeMachine LearningData ScienceEngineeringGenerative Adversarial Network	2020	74
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
Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study Gerard Anmella, Filippo Corponi, Bryan M. Li, JMIR mhealth and uhealth	2023	34
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
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
On Tractable Computation of Expected Predictions Pasha Khosravi, YooJung Choi, Yitao Liang, arXiv (Cornell University) Artificial IntelligenceStructured PredictionEngineeringMachine LearningProbabilistic Computation	2019	25
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic\n Circuits Robert Peharz, Steven Lang, Antonio Vergari, arXiv (Cornell University)	2020	25
End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. Nicola Di Mauro, Antonio Vergari, Teresa M. A. Basile, CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)	2017	17

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