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pro vyhledávání: '"Rektoris, Martin"'
Deep generative models have recently made a remarkable progress in capturing complex probability distributions over graphs. However, they are intractable and thus unable to answer even the most basic probabilistic inference queries without resorting
Externí odkaz:
http://arxiv.org/abs/2408.09451
Daily internet communication relies heavily on tree-structured graphs, embodied by popular data formats such as XML and JSON. However, many recent generative (probabilistic) models utilize neural networks to learn a probability distribution over undi
Externí odkaz:
http://arxiv.org/abs/2408.07394
Autor:
Vintr T; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Blaha J; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Rektoris M; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Ulrich J; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Rouček T; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Broughton G; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Yan Z; CIAD UMR 7533, Univ. Bourgogne Franche-Comté, UTBM, Montbéliard, France., Krajník T; Laboratory of Chronorobotics, Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Publikováno v:
Frontiers in robotics and AI [Front Robot AI] 2022 Jul 04; Vol. 9, pp. 890013. Date of Electronic Publication: 2022 Jul 04 (Print Publication: 2022).