Sriraam Natarajan

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Indiana University Bloomington ∙ The University of Texas at Dallas

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams

One of the key advantages of Inductive Logic Programming systems is the ...
12/16/2019 ∙ by Alexander L. Hayes, et al. ∙ 22 ∙ share

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Structure Learning for Relational Logistic Regression: An Ensemble Approach

We consider the problem of learning Relational Logistic Regression (RLR)...
08/06/2018 ∙ by Nandini Ramanan, et al. ∙ 14 ∙ share

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Sum-Product Networks for Hybrid Domains

While all kinds of mixed data -from personal data, over panel and scient...
10/09/2017 ∙ by Alejandro Molina, et al. ∙ 0 ∙ share

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Application of Statistical Relational Learning to Hybrid Recommendation Systems

Recommendation systems usually involve exploiting the relations among kn...
07/04/2016 ∙ by Shuo Yang, et al. ∙ 0 ∙ share

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Counting Belief Propagation

A major benefit of graphical models is that most knowledge is captured i...
05/09/2012 ∙ by Kristian Kersting, et al. ∙ 0 ∙ share

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Learning Relational Dependency Networks for Relation Extraction

We consider the task of KBP slot filling -- extracting relation informat...
07/01/2016 ∙ by Dileep Viswanathan, et al. ∙ 0 ∙ share

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Preference-Guided Planning: An Active Elicitation Approach

Planning with preferences has been employed extensively to quickly gener...
04/19/2018 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

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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...
04/15/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

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Knowledge-augmented Column Networks: Guiding Deep Learning with Advice

Recently, deep models have had considerable success in several tasks, es...
05/31/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

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Neural Networks for Relational Data

While deep networks have been enormously successful over the last decade...
08/28/2019 ∙ by Navdeep Kaur, et al. ∙ 0 ∙ share

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Predicting Drug-Drug Interactions from Molecular Structure Images

Predicting and discovering drug-drug interactions (DDIs) is an important...
11/14/2019 ∙ by Devendra Singh Dhami, et al. ∙ 0 ∙ share

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Non-Parametric Learning of Gaifman Models

We consider the problem of structure learning for Gaifman models and lea...
01/02/2020 ∙ by Devendra Singh Dhami, et al. ∙ 0 ∙ share

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Lifted Hybrid Variational Inference

A variety of lifted inference algorithms, which exploit model symmetry t...
01/08/2020 ∙ by Yuqiao Chen, et al. ∙ 0 ∙ share

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One-Shot Induction of Generalized Logical Concepts via Human Guidance

We consider the problem of learning generalized first-order representati...
12/15/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

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Non-Parametric Learning of Lifted Restricted Boltzmann Machines

We consider the problem of discriminatively learning restricted Boltzman...
01/09/2020 ∙ by Navdeep Kaur, et al. ∙ 0 ∙ share

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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...
01/13/2020 ∙ by Michael A. Skinner, et al. ∙ 0 ∙ share

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Knowledge Graph Alignment using String Edit Distance

In this work, we propose a novel knowledge base alignment technique base...
03/13/2020 ∙ by Navdeep Kaur, et al. ∙ 0 ∙ share

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Fitted Q-Learning for Relational Domains

We consider the problem of Approximate Dynamic Programming in relational...
06/10/2020 ∙ by Srijita Das, et al. ∙ 0 ∙ share

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Sriraam Natarajan

Featured Co-authors

Dan Roth

Yang Yu

Kaushik Roy

Kristian Kersting

Shuo Yang

Tushar Khot

Yibo Yang

Alejandro Molina

David Page

David Poole

Janardhan Rao Doppa

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams

Structure Learning for Relational Logistic Regression: An Ensemble Approach

Sum-Product Networks for Hybrid Domains

Application of Statistical Relational Learning to Hybrid Recommendation Systems

Counting Belief Propagation

Learning Relational Dependency Networks for Relation Extraction

Preference-Guided Planning: An Active Elicitation Approach

Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice

Knowledge-augmented Column Networks: Guiding Deep Learning with Advice

Neural Networks for Relational Data

Predicting Drug-Drug Interactions from Molecular Structure Images

Non-Parametric Learning of Gaifman Models

Lifted Hybrid Variational Inference

One-Shot Induction of Generalized Logical Concepts via Human Guidance

Non-Parametric Learning of Lifted Restricted Boltzmann Machines

A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children

Knowledge Graph Alignment using String Edit Distance

Fitted Q-Learning for Relational Domains