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Integer Programming for Multi-Robot Planning: A Column Generation Approach
We consider the problem of coordinating a fleet of robots in a warehouse...
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Knowledge Graph Alignment using String Edit Distance
In this work, we propose a novel knowledge base alignment technique base...
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Non-Parametric Learning of Lifted Restricted Boltzmann Machines
We consider the problem of discriminatively learning restricted Boltzman...
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Non-Parametric Learning of Gaifman Models
We consider the problem of structure learning for Gaifman models and lea...
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Predicting Drug-Drug Interactions from Molecular Structure Images
Predicting and discovering drug-drug interactions (DDIs) is an important...
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Neural Networks for Relational Data
While deep networks have been enormously successful over the last decade...
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Knowledge-augmented Column Networks: Guiding Deep Learning with Advice
Recently, deep models have had considerable success in several tasks, es...
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Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice
Recently, deep models have been successfully applied in several applicat...
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Structure Learning for Relational Logistic Regression: An Ensemble Approach
We consider the problem of learning Relational Logistic Regression (RLR)...
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