Debarun Bhattacharjya

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 48

Top Topics

Point Processes

Credal Networks

Top Venues

Publications

Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker, Jian Ni
Distilling Event Sequence Knowledge From Large Language Models. CoRR (2024)
Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. CoRR (2024)
Fábio Gagliardi Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya
Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. 172 (2024)
Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos
CHRONOS: A Schema-Based Event Understanding and Prediction System. AAAI (2024)
Debarun Bhattacharjya, Junkyu Lee, Don Joven Agravante, Balaji Ganesan, Radu Marinescu
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning. CoRR (2024)
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
Influence-Aware Attention for Multivariate Temporal Point Processes. CLeaR (2023)
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
Probabilistic Attention-to-Influence Neural Models for Event Sequences. ICML (2023)
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
Concurrent Multi-Label Prediction in Event Streams. AAAI (2023)
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel
Approximate Inference in Logical Credal Networks. IJCAI (2023)
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
Pairwise Causality Guided Transformers for Event Sequences. NeurIPS (2023)
Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
A Case-Based Reasoning Approach to Knowledge-Based Event Prediction. ISWC (Posters/Demos/Industry) (2023)
Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius
Weighted Clock Logic Point Process. ICLR (2023)
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. AAAI (2023)
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray
Credal Marginal MAP. NeurIPS (2023)
Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
Event Prediction using Case-Based Reasoning over Knowledge Graphs. CoRR (2023)
Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
Event Prediction using Case-Based Reasoning over Knowledge Graphs. WWW (2023)
Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. IJCAI (2023)
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip
Knowledge-Based News Event Analysis and Forecasting Toolkit. IJCAI (2022)
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
Summary Markov Models for Event Sequences. IJCAI (2022)
Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data. ICML (2022)
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
Logical Credal Networks. NeurIPS (2022)
Debarun Bhattacharjya, Radu Marinescu
Hedging as Reward Augmentation in Probabilistic Graphical Models. NeurIPS (2022)
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
Summary Markov Models for Event Sequences. CoRR (2022)
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian
Process Independence Testing in Proximal Graphical Event Models. CLeaR (2022)
Sola S. Shirai, Aamod Khatiwada, Oktie Hassanzadeh, Debarun Bhattacharjya
Rule-Based Link Prediction over Event-Related Causal Knowledge in Wikidata. Wikidata@ISWC (2022)
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Aamod Khatiwada, Lee Martie, Steve Fonin Mbouadeu, Jian Ni, Anik Saha, Sola Shirai, Kavitha Srinivas, Lucy Yip
Knowledge-Based News Event Analysis Toolkit. ISWC (Posters/Demos/Industry) (2022)
Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart
Linearizing contextual bandits with latent state dynamics. UAI (2022)
Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS (2021)
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
Ordinal Historical Dependence in Graphical Event Models with Tree Representations. AAAI (2021)
Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
Logical Credal Networks. CoRR (2021)
Hans Olav Vogt Myklebust, Jo Eidsvik, Iver Bakken Sperstad, Debarun Bhattacharjya
Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance. Decis. Anal. 17 (2) (2020)
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian
Cause-Effect Association between Event Pairs in Event Datasets. IJCAI (2020)
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
A Multi-Channel Neural Graphical Event Model with Negative Evidence. AAAI (2020)
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
Order-Dependent Event Models for Agent Interactions. IJCAI (2020)
Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue
Hawkesian Graphical Event Models. PGM (2020)
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
A Multi-Channel Neural Graphical Event Model with Negative Evidence. CoRR (2020)
Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian
GaSPing for Utility. AAAI (2020)
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
State Variable Effects in Graphical Event Models. IJCAI (2020)
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian
Event-Driven Continuous Time Bayesian Networks. AAAI (2020)
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
Causal Knowledge Extraction through Large-Scale Text Mining. AAAI (2020)
Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
A big data approach to computational creativity: The curious case of Chef Watson. IBM J. Res. Dev. 63 (1) (2019)
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. IJCAI (2019)
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
Proximal Graphical Event Models. NeurIPS (2018)
Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney
Generalization across Contexts in Unsupervised Computational Creativity. ICCC (2018)
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jan Houdek, M. Abubakar, Abdulwahab Alharbi, T. Braimoh, N. Ihebuzor, Aleksandra Mojsilovic, Kush R. Varshney
Effectiveness of peer detailing in a diarrhea program in Nigeria. IBM J. Res. Dev. 61 (6) (2017)
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilovic
Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments. AAAI Spring Symposia (2017)
Dharmashankar Subramanian, Debarun Bhattacharjya, Ruben Rodriguez Torrado, Jeffrey O. Kephart, Vijil Chenthamarakshan, Jesus Rios
A cognitive assistant for risk identification and modeling. IEEE BigData (2017)
Debarun Bhattacharjya
Preference Models for Creative Artifacts and Systems. ICCC (2016)
Qing He, Hongfei Li, Debarun Bhattacharjya, Dhaivat Parikh, Arun Hampapur
Track geometry defect rectification based on track deterioration modelling and derailment risk assessment. J. Oper. Res. Soc. 66 (3) (2015)
Debarun Bhattacharjya, Léa A. Deleris
The Value of Information in Some Variations of the Stopping Problem. Decis. Anal. 11 (3) (2014)
Debarun Bhattacharjya, Léa A. Deleris, Bonnie Ray
A Myopic Approach to OrderingNodes for Parameter Elicitationin Bayesian Belief Networks. IEEE Trans. Knowl. Data Eng. 26 (5) (2014)
Debarun Bhattacharjya, Jeffrey O. Kephart
Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. UAI (2014)
Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji
The Value of Information in Portfolio Problems with Dependent Projects. Decis. Anal. 10 (4) (2013)
Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
A Big Data Approach to Computational Creativity. CoRR (2013)
Debarun Bhattacharjya, Ross D. Shachter
Sensitivity analysis in decision circuits CoRR (2012)
Debarun Bhattacharjya, Ross D. Shachter
Formulating Asymmetric Decision Problems as Decision Circuits. Decis. Anal. 9 (2) (2012)
Debarun Bhattacharjya, Ross D. Shachter
Evaluating influence diagrams with decision circuits CoRR (2012)
Debarun Bhattacharjya, Léa A. Deleris
From Reliability Block Diagrams to Fault Tree Circuits. Decis. Anal. 9 (2) (2012)
Debarun Bhattacharjya, Ross D. Shachter
Three new sensitivity analysis methods for influence diagrams CoRR (2012)
Ross D. Shachter, Debarun Bhattacharjya
Dynamic programming in in uence diagrams with decision circuits CoRR (2012)
Rama Akkiraju, Debarun Bhattacharjya, Sammukh Gupta
Towards effective business process availability management. J. Serv. Sci. Res. 4 (2) (2012)
Ross D. Shachter, Debarun Bhattacharjya
Dynamic programming in in uence diagrams with decision circuits. UAI (2010)
Debarun Bhattacharjya, Ross D. Shachter
Three new sensitivity analysis methods for influence diagrams. UAI (2010)
Debarun Bhattacharjya, Ross D. Shachter
Sensitivity analysis in decision circuits. UAI (2008)
Debarun Bhattacharjya, Ross D. Shachter
Evaluating influence diagrams with decision circuits. UAI (2007)