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06/01/2023
Parallel Neurosymbolic Integration with Concordia
Parallel neurosymbolic architectures have been applied effectively in NL...
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04/11/2023
Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue
The role of uncertainty in data management has become more prominent tha...
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02/09/2023
Principled and Efficient Motif Finding for Structure Learning in Lifted Graphical Models
Structure learning is a core problem in AI central to the fields of neur...
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09/06/2022
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Several techniques have recently aimed to improve the performance of dee...
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02/04/2021
Materializing Knowledge Bases via Trigger Graphs
The chase is a well-established family of algorithms used to materialize...
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10/22/2020
Neural-Symbolic Integration: A Compositional Perspective
Despite significant progress in the development of neural-symbolic frame...
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06/01/2020
Balancing expressiveness and inexpressiveness in view design
We study the design of data publishing mechanisms that allow a collectio...
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11/18/2019
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report)
State-of-the-art inference approaches in probabilistic logic programming...
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03/21/2019
Repairing mappings under policy views
The problem of data exchange involves a source schema, a target schema a...
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11/14/2017
