Debarun Bhattacharjya

Int. J. Approx. Reason., 2024

Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Supervised Contrastive Pre-Training for Multivariate Point Processes.

[BibT_eX]

[DOI]

CoRR, 2024

Distilling Event Sequence Knowledge From Large Language Models.

[BibT_eX]

[DOI]

Somin Wadhwa

Ken Barker

Jian Ni

Proceedings of the Semantic Web - ISWC 2024, 2024

CHRONOS: A Schema-Based Event Understanding and Prediction System.

[BibT_eX]

[DOI]

Radu Florian

Salim Roukos

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Event Prediction using Case-Based Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Sola Shirai

Proceedings of the ACM Web Conference 2023, 2023

A Case-Based Reasoning Approach to Knowledge-Based Event Prediction.

[BibT_eX]

[DOI]

Sola Shirai

Proceedings of the ISWC 2023 Posters, 2023

Pairwise Causality Guided Transformers for Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Credal Marginal MAP.

[BibT_eX]

[DOI]

Junkyu Lee

Fábio Gagliardi Cozman

Alexander G. Gray

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models.

[BibT_eX]

[DOI]

Ronny Luss

Keerthiram Murugesan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Approximate Inference in Logical Credal Networks.

[BibT_eX]

[DOI]

Haifeng Qian

Alexander G. Gray

Francisco Barahona

Ryan Riegel

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Probabilistic Attention-to-Influence Neural Models for Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Weighted Clock Logic Point Process.

[BibT_eX]

[DOI]

Ruixuan Yan

Yunshi Wen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Influence-Aware Attention for Multivariate Temporal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Concurrent Multi-Label Prediction in Event Streams.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Linearizing contextual bandits with latent state dynamics.

[BibT_eX]

[DOI]

Elliot Nelson

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Rule-Based Link Prediction over Event-Related Causal Knowledge in Wikidata.

[BibT_eX]

[DOI]

Sola S. Shirai

Aamod Khatiwada

Proceedings of the 3rd Wikidata Workshop 2022 co-located with the 21st International Semantic Web Conference (ISWC2022), 2022

Knowledge-Based News Event Analysis Toolkit.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2022 Posters, 2022

Hedging as Reward Augmentation in Probabilistic Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Logical Credal Networks.

[BibT_eX]

[DOI]

Haifeng Qian

Alexander G. Gray

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge-Based News Event Analysis and Forecasting Toolkit.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Summary Markov Models for Event Sequences.

[BibT_eX]

[DOI]

Saurabh Sihag

Liza Bialik

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data.

[BibT_eX]

[DOI]

Elliot Nelson

Miao Liu

Yue Yu

Proceedings of the International Conference on Machine Learning, 2022

Process Independence Testing in Proximal Graphical Event Models.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Causal Inference for Event Pairs in Multivariate Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Ordinal Historical Dependence in Graphical Event Models with Tree Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance.

[BibT_eX]

[DOI]

Hans Olav Vogt Myklebust

Jo Eidsvik

Iver Bakken Sperstad

Decis. Anal., 2020

Hawkesian Graphical Event Models.

[BibT_eX]

[DOI]

Xiufan Yu

Lingzhou Xue

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

State Variable Effects in Graphical Event Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Order-Dependent Event Models for Agent Interactions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cause-Effect Association between Event Pairs in Event Datasets.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Causal Knowledge Extraction through Large-Scale Text Mining.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GaSPing for Utility.

[BibT_eX]

[DOI]

Mengyang Gu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Multi-Channel Neural Graphical Event Model with Negative Evidence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Event-Driven Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A big data approach to computational creativity: The curious case of Chef Watson.

[BibT_eX]

[DOI]

Lav R. Varshney

Florian Pinel

Angela Schörgendorfer

Yi-Min Chee

IBM J. Res. Dev., 2019

Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Proximal Graphical Event Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generalization across Contexts in Unsupervised Computational Creativity.

[BibT_eX]

[DOI]

Lav R. Varshney

Proceedings of the Ninth International Conference on Computational Creativity, 2018

2017

Effectiveness of peer detailing in a diarrhea program in Nigeria.

[BibT_eX]

[DOI]

Yumeng Tao

Aleksandra Mojsilovic

IBM J. Res. Dev., 2017

A cognitive assistant for risk identification and modeling.

[BibT_eX]

[DOI]

Ruben Rodriguez Torrado

Jeffrey O. Kephart

Vijil Chenthamarakshan

Jesus Rios

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments.

[BibT_eX]

[DOI]

Yumeng Tao

Aleksandra Mojsilovic

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Preference Models for Creative Artifacts and Systems.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Computational Creativity, 2016

2015

Track geometry defect rectification based on track deterioration modelling and derailment risk assessment.

[BibT_eX]

[DOI]

Qing He

Hongfei Li

Dhaivat Parikh

Arun Hampapur

J. Oper. Res. Soc., 2015

2014

A Myopic Approach to OrderingNodes for Parameter Elicitationin Bayesian Belief Networks.

[BibT_eX]

[DOI]

Léa A. Deleris

Bonnie Ray

IEEE Trans. Knowl. Data Eng., 2014

The Value of Information in Some Variations of the Stopping Problem.

[BibT_eX]

[DOI]

Léa A. Deleris

Decis. Anal., 2014

Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps.

[BibT_eX]

[DOI]

Jeffrey O. Kephart

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2013

The Value of Information in Portfolio Problems with Dependent Projects.

[BibT_eX]

[DOI]

Jo Eidsvik

Tapan Mukerji

Decis. Anal., 2013

A Big Data Approach to Computational Creativity.

[BibT_eX]

[DOI]

Lav R. Varshney

Florian Pinel

Angela Schörgendorfer

Yi-Min Chee

CoRR, 2013

2012

Towards effective business process availability management.

[BibT_eX]

[DOI]

Rama Akkiraju

Sammukh Gupta

J. Serv. Sci. Res., 2012

Formulating Asymmetric Decision Problems as Decision Circuits.

[BibT_eX]

[DOI]

Decis. Anal., 2012

From Reliability Block Diagrams to Fault Tree Circuits.

[BibT_eX]

[DOI]

Léa A. Deleris

Decis. Anal., 2012

2010

Dynamic programming in in uence diagrams with decision circuits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Three new sensitivity analysis methods for influence diagrams.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

2008

Sensitivity analysis in decision circuits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

2007

Evaluating influence diagrams with decision circuits.

[BibT_eX]

[DOI]