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Measure Theoretic Weighted Model Integration
Weighted model counting (WMC) is a popular framework to perform probabil...
03/25/2021 ∙ by Ivan Miosic, et al. ∙
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Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring
Robotic agents should be able to learn from sub-symbolic sensor data, an...
02/24/2020 ∙ by Pedro Zuidberg Dos Martires, et al. ∙
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Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration
Probabilistic inference in the hybrid domain, i.e. inference over discre...
01/13/2020 ∙ by Pedro Zuidberg Dos Martires, et al. ∙
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Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
Human-robot interaction often occurs in the form of instructions given f...
04/30/2019 ∙ by Ozan Arkan Can, et al. ∙
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Semantic Relational Object Tracking
This paper addresses the topic of semantic world modeling by conjoining ...
02/26/2019 ∙ by Andreas Persson, et al. ∙
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Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming
In probabilistic reasoning, the traditionally discrete domain has been e...
07/02/2018 ∙ by Pedro Zuidberg Dos Martires, et al. ∙
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