Debarun Bhattacharjya

Research AI , IBM T. J. Watson Research Center

8 papers in the IJCAI proceedings

IJCAI 2023

Approximate Inference in Logical Credal Networks

with Radu Marinescu, Haifeng Qian, Alexander Gray, Francisco Barahona, Tian Gao, Ryan Riegel

doi:10.24963/ijcai.2023/632

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Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models

with Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan

doi:10.24963/ijcai.2023/629

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IJCAI 2022

Knowledge-Based News Event Analysis and Forecasting Toolkit

with Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip

doi:10.24963/ijcai.2022/850

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Summary Markov Models for Event Sequences

with Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik

doi:10.24963/ijcai.2022/670

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IJCAI 2020

Cause-Effect Association between Event Pairs in Event Datasets

with Tian Gao, Nicholas Mattei, Dharmashankar Subramanian

doi:10.24963/ijcai.2020/167

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Order-Dependent Event Models for Agent Interactions

with Tian Gao, Dharmashankar Subramanian

doi:10.24963/ijcai.2020/274

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State Variable Effects in Graphical Event Models

with Dharmashankar Subramanian, Tian Gao

doi:10.24963/ijcai.2020/592

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IJCAI 2019

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

with Oktie Hassanzadeh, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz

doi:10.24963/ijcai.2019/695

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Future Conferences

AI Journal Division

IJCAI Proceedings