Sriraam Natarajan

发表

Lifted Hybrid Variational Inference pdf

Nicholas Ruozzi, Yibo Yang, Yuqiao Chen, 2020, ArXiv.

Boosted Statistical Relational Learners: From Benchmarks to Data-Driven Medicine

Kristian Kersting, Tushar Khot, Sriraam Natarajan, 2015 .

Cost Aware Feature Elicitation

Sriraam Natarajan, Rishabh Iyer, Srijita Das, 2020, KiML@KDD.

Lifted Message Passing for Hybrid Probabilistic Inference

Nicholas Ruozzi, Yuqiao Chen, Sriraam Natarajan, 2019, IJCAI.

Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning

Yang Yu, Mayukh Das, Devendra Singh Dhami, 2020, COMAD/CODS.

Non-Parametric Learning of Gaifman Models pdf

Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan, 2020, ArXiv.

Boosting Statistical Relational Learning in Action

Kristian Kersting, Tushar Khot, Sriraam Natarajan, 2014 .

Recognition of EOG based reading task using AR features

Sriraam Natarajan, Sandra D'Souza, 2014, International Conference on Circuits, Communication, Control and Computing.

Neural Network Based Lossless And Quality Controlled Schemes With Error Modeling For The Compression Of Electroencephalography (EEG) Signal

Sriraam Natarajan, 2007 .

KI-LEARN: Knowledge-Intensive Learning Methods for Knowledge-Rich/Data-Poor Domains

Thomas G. Dietterich, Alan Fern, Jianqiang Shen, 2006 .

Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks

David Page, Devendra Singh Dhami, Gautam Kunapuli, 2019 .

A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation

Sriraam Natarajan, Srijita Das, Rishabh Iyer, 2021, COMAD/CODS.

Boosting in the Presence of Missing Data

Kristian Kersting, Tushar Khot, Sriraam Natarajan, 2014 .

Boosting Undirected Relational Models

Kristian Kersting, Tushar Khot, Sriraam Natarajan, 2014 .

Fitted Q-Learning for Relational Domains pdf

Kristian Kersting, Kaushik Roy, Sriraam Natarajan, 2020, ArXiv.

Boosting relational dependency networks

Kristian Kersting, Tushar Khot, Bernd Gutmann, 2010, ILP - 2010.

Statistical Relational Learning

Kristian Kersting, Tushar Khot, Sriraam Natarajan, 2010, Encyclopedia of Machine Learning.

A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains

Sriraam Natarajan, Shuo Yang, Phillip Odom, 2020, AAAI.

Predicting Drug-Drug Interactions from Molecular Structure Images pdf

Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan, 2019, ArXiv.

Conditional Random Fields For Brain Tissue Segmentation

Gautam Kunapuli, Sriraam Natarajan, Ameet Soni, 2013 .

One-Shot Induction of Generalized Logical Concepts via Human Guidance

Janardhan Rao Doppa, Mayukh Das, Sriraam Natarajan, 2019, ArXiv.

GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning

Shubhomoy Das, Janardhan Rao Doppa, Sriraam Natarajan, 2018 .

Knowledge Intensive Learning of Generative Adversarial Networks

Mayukh Das, Devendra Singh Dhami, Sriraam Natarajan, 2020, KiML@KDD.

Relational Boosted Bandits pdf

Balaraman Ravindran, Sriraam Natarajan, Ashutosh Kakadiya, 2020, ArXiv.

Boosting (Bi-)Directed Relational Models

Kristian Kersting, Tushar Khot, Sriraam Natarajan, 2014 .

Learning Relational Structure for Temporal Relation Extraction

Tushar Khot, Sriraam Natarajan, Siddharth Srivastava, 2012 .

Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models pdf

Kristian Kersting, Devendra Singh Dhami, Sriraam Natarajan, 2021, ArXiv.

Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach

David Page, Devendra Singh Dhami, Gautam Kunapuli, 2021, AIME.

Structure Refinement in First Order Conditional Influence Language

Weng-Keen Wong, Prasad Tadepalli, Sriraam Natarajan, 2006 .

Imitation Learning in Relational Domains Using Functional Gradient Boosting

Kristian Kersting, Prasad Tadepalli, Saket Joshi, .

Graph-based Approximate Counting for Relational Probabilistic Models

Kristian Kersting, Mayukh Das, Tushar Khot, 2015 .

Knowledge Intensive Learning : Directed vs Undirected SRL Models

Prasad Tadepalli, Gautam Kunapuli, Sriraam Natarajan, 2009 .

Early Prediction of Coronary Artery Calcication Levels Using Statistical Relational Learning

Kristian Kersting, Sriraam Natarajan, Santiago Saldana, 2012 .

Initial Empirical Evaluation of Anytime Lifted Belief Propagation

Richard G. Freedman, Sriraam Natarajan, Hung Bui, 2012 .