3 citations · 6 across the 7 of their papers we have counts for
11 papers
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli +2
Predicting and discovering drug-drug interactions (DDIs) using machine learning has been studied extensively. However, most of the approaches have focused on text data or textual r…
Multi-Robot Routing with Time Windows: A Column Generation Approach
Naveed Haghani, Jiaoyang Li, Sven Koenig +4
Robots performing tasks in warehouses provide the first example of wide-spread adoption of autonomous vehicles in transportation and logistics. The efficiency of these operations,…
Integer Programming for Multi-Robot Planning: A Column Generation Approach
Naveed Haghani, Jiaoyang Li, Sven Koenig +3
We consider the problem of coordinating a fleet of robots in a warehouse so as to maximize the reward achieved within a time limit while respecting problem and robot specific const…
Knowledge Graph Alignment using String Edit Distance
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
In this work, we propose a novel knowledge graph alignment technique based upon string edit distance that exploits the type information between entities and can find similarity bet…
Non-Parametric Learning of Gaifman Models
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli +1
We consider the problem of structure learning for Gaifman models and learn relational features that can be used to derive feature representations from a knowledge base. These relat…
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
We consider the problem of discriminatively learning restricted Boltzmann machines in the presence of relational data. Unlike previous approaches that employ a rule learner (for st…