Sriraam Natarajan
Orcid: 0000-0001-9889-6260Affiliations:
- University of Texas at Dallas, Center for Machine Learning, TX, USA
- Indiana University, School of Informatics and Computing, Bloomington, IN, USA
- Wake Forest University, School of Medicine, NC, USA
- University of Wisconsin Madison, Department of Computer Science, WI, USA
- Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA (PhD 2007)
According to our database1,
Sriraam Natarajan
authored at least 167 papers
between 2005 and 2024.
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Bibliography
2024
Proceedings of the 29th ACM Symposium on Access Control Models and Technologies, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits.
Proceedings of the 27th International Conference on Information Fusion, 2024
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains.
Neural Comput. Appl., August, 2023
Frontiers Artif. Intell., February, 2023
Frontiers Artif. Intell., February, 2023
CoRR, 2023
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023
Proceedings of the AAAI Bridge Program on Continual Causality, 2023
2022
CoRR, 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion.
Proceedings of the 25th International Conference on Information Fusion, 2022
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
An Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress.
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN.
CoRR, 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes.
Proceedings of the Artificial Intelligence in Medicine, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Int. J. Approx. Reason., 2020
Frontiers Robotics AI, 2020
Frontiers Big Data, 2020
A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children.
CoRR, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Frontiers Robotics AI, 2019
CoRR, 2019
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Control Diffusion of Information Collection for Situation Understanding Using Boosting MLNs.
Proceedings of the 21st International Conference on Information Fusion, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach.
Knowl. Based Syst., 2017
Knowl. Inf. Syst., 2017
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams.
Proceedings of the Knowledge Capture Conference, 2017
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the Artificial Intelligence in Medicine, 2017
Proceedings of the First Workshop on Language Grounding for Robotics, 2017
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01574-8, 2016
Proceedings of the Computational Sustainability, 2016
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016
Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks.
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016
Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases.
Mach. Learn., 2015
Mach. Learn., 2015
Statistical Relational Artificial Intelligence: From Distributions through Actions to Optimization.
Künstliche Intell., 2015
AI Mag., 2015
Proceedings of the 2015 Text Analysis Conference, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study.
Proceedings of the Artificial Intelligence in Medicine, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-13644-8, 2014
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.
Int. J. Mach. Learn. Cybern., 2014
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014
Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
2013
Mach. Learn., 2013
Proceedings of The Twenty-Second Text REtrieval Conference, 2013
Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization.
Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text.
Proceedings of the Statistical Relational Artificial Intelligence, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
2012
Gradient-based boosting for statistical relational learning: The relational dependency network case.
Mach. Learn., 2012
Knowl. Inf. Syst., 2012
Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records.
AI Mag., 2012
Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Accelarating Imitation Learning in Relational Domains via Transfer by Initialization.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the ACM International Conference on Bioinformatics, 2011
2010
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.
Proceedings of the Statistical Relational Artificial Intelligence, 2010
2009
Speeding Up Inference in Markov Logic Networks by Preprocessing to Reduce the Size of the Resulting Grounded Network.
Proceedings of the IJCAI 2009, 2009
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.
Proceedings of the International Conference on Machine Learning and Applications, 2009
2008
Ann. Math. Artif. Intell., 2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
2007
Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
Proceedings of the Interaction Challenges for Intelligent Assistants, 2007
2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005