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03/19/2021
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
Predicting and discovering drug-drug interactions (DDIs) using machine l...
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03/16/2021
Multi-Robot Routing with Time Windows: A Column Generation Approach
Robots performing tasks in warehouses provide the first example of wide-...
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06/08/2020
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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03/13/2020
Knowledge Graph Alignment using String Edit Distance
In this work, we propose a novel knowledge base alignment technique base...
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01/09/2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
We consider the problem of discriminatively learning restricted Boltzman...
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01/02/2020
Non-Parametric Learning of Gaifman Models
We consider the problem of structure learning for Gaifman models and lea...
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11/14/2019
Predicting Drug-Drug Interactions from Molecular Structure Images
Predicting and discovering drug-drug interactions (DDIs) is an important...
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08/28/2019
Neural Networks for Relational Data
While deep networks have been enormously successful over the last decade...
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05/31/2019
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice
Recently, deep models have had considerable success in several tasks, es...
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04/15/2019
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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08/06/2018
