research
∙
09/18/2023
(Deployed Application) Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
Building teams and promoting collaboration are two very common business ...
share
research
∙
09/10/2023
Knowledge-based Refinement of Scientific Publication Knowledge Graphs
We consider the problem of identifying authorship by posing it as a know...
research
∙
02/07/2023
MACOptions: Multi-Agent Learning with Centralized Controller and Options Framework
These days automation is being applied everywhere. In every environment,...
research
∙
06/16/2022
Explainable Models via Compression of Tree Ensembles
Ensemble models (bagging and gradient-boosting) of relational decision t...
research
∙
10/19/2021
Explaining Deep Tractable Probabilistic Models: The sum-product network case
We consider the problem of explaining a tractable deep probabilistic mod...
research
∙
10/18/2021
Relational Neural Markov Random Fields
Statistical Relational Learning (SRL) models have attracted significant ...
research
∙
10/15/2021
Dynamic probabilistic logic models for effective abstractions in RL
State abstraction enables sample-efficient learning and better task tran...
research
∙
03/19/2021
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
Predicting and discovering drug-drug interactions (DDIs) using machine l...
research
∙
02/20/2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
While probabilistic models are an important tool for studying causality,...
research
∙
02/13/2021
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN
We consider the problem of learning Graph Convolutional Networks (GCNs) ...
research
∙
12/16/2020
Relational Boosted Bandits
Contextual bandits algorithms have become essential in real-world user i...
research
∙
06/10/2020
Fitted Q-Learning for Relational Domains
We consider the problem of Approximate Dynamic Programming in relational...
research
∙
03/13/2020
Knowledge Graph Alignment using String Edit Distance
In this work, we propose a novel knowledge base alignment technique base...
research
∙
01/13/2020
A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children
The increased use of electronic health records has made possible the aut...
research
∙
01/09/2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
We consider the problem of discriminatively learning restricted Boltzman...
research
∙
01/08/2020
Lifted Hybrid Variational Inference
A variety of lifted inference algorithms, which exploit model symmetry t...
research
∙
01/02/2020
Non-Parametric Learning of Gaifman Models
We consider the problem of structure learning for Gaifman models and lea...
research
∙
12/16/2019
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
One of the key advantages of Inductive Logic Programming systems is the ...
research
∙
12/15/2019
One-Shot Induction of Generalized Logical Concepts via Human Guidance
We consider the problem of learning generalized first-order representati...
research
∙
11/14/2019
Predicting Drug-Drug Interactions from Molecular Structure Images
Predicting and discovering drug-drug interactions (DDIs) is an important...
research
∙
08/28/2019
Neural Networks for Relational Data
While deep networks have been enormously successful over the last decade...
research
∙
05/31/2019
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice
Recently, deep models have had considerable success in several tasks, es...
research
∙
04/15/2019
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice
Recently, deep models have been successfully applied in several applicat...
research
∙
08/06/2018
Structure Learning for Relational Logistic Regression: An Ensemble Approach
We consider the problem of learning Relational Logistic Regression (RLR)...
research
∙
04/19/2018
Preference-Guided Planning: An Active Elicitation Approach
Planning with preferences has been employed extensively to quickly gener...
research
∙
10/09/2017
Sum-Product Networks for Hybrid Domains
While all kinds of mixed data -from personal data, over panel and scient...
research
∙
07/04/2016
Application of Statistical Relational Learning to Hybrid Recommendation Systems
Recommendation systems usually involve exploiting the relations among kn...
research
∙
07/01/2016
Learning Relational Dependency Networks for Relation Extraction
We consider the task of KBP slot filling -- extracting relation informat...
research
∙
05/09/2012