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ORCIDDebarun Bhattacharjya
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2020 – today
- 2024
[j11]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: 109237 (2024)- [c42]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: 22871-22877 - [i12]Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker, Jian Ni:
Distilling Event Sequence Knowledge From Large Language Models. CoRR abs/2401.07237 (2024) - [i11]Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett:
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. CoRR abs/2402.00987 (2024) - [i10]Debarun Bhattacharjya, Junkyu Lee, Don Joven Agravante, Balaji Ganesan, Radu Marinescu:
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning. CoRR abs/2402.01602 (2024) - 2023
- [c41]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Concurrent Multi-Label Prediction in Event Streams. AAAI 2023: 9820-9828 - [c40]Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou:
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. AAAI 2023: 12189-12197 - [c39]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Influence-Aware Attention for Multivariate Temporal Point Processes. CLeaR 2023: 499-517 - [c38]Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius:
Weighted Clock Logic Point Process. ICLR 2023 - [c37]Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett:
Probabilistic Attention-to-Influence Neural Models for Event Sequences. ICML 2023: 31657-31674 - [c36]Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan:
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. IJCAI 2023: 5667-5675 - [c35]Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel:
Approximate Inference in Logical Credal Networks. IJCAI 2023: 5694-5701 - [c34]Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fábio Gagliardi Cozman, Alexander G. Gray:
Credal Marginal MAP. NeurIPS 2023 - [c33]Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett:
Pairwise Causality Guided Transformers for Event Sequences. NeurIPS 2023 - [c32]Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh:
A Case-Based Reasoning Approach to Knowledge-Based Event Prediction. ISWC (Posters/Demos/Industry) 2023 - [c31]Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh:
Event Prediction using Case-Based Reasoning over Knowledge Graphs. WWW 2023: 2383-2391 - [i9]Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh:
Event Prediction using Case-Based Reasoning over Knowledge Graphs. CoRR abs/2309.12423 (2023) - 2022
- [c30]Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian:
Process Independence Testing in Proximal Graphical Event Models. CLeaR 2022: 144-161 - [c29]Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu:
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data. ICML 2022: 6988-7001 - [c28]Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik:
Summary Markov Models for Event Sequences. IJCAI 2022: 4836-4842 - [c27]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: 5904-5907 - [c26]Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. NeurIPS 2022 - [c25]Debarun Bhattacharjya, Radu Marinescu:
Hedging as Reward Augmentation in Probabilistic Graphical Models. NeurIPS 2022 - [c24]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 - [c23]Sola S. Shirai, Aamod Khatiwada, Oktie Hassanzadeh, Debarun Bhattacharjya:
Rule-Based Link Prediction over Event-Related Causal Knowledge in Wikidata. Wikidata@ISWC 2022 - [c22]Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart:
Linearizing contextual bandits with latent state dynamics. UAI 2022: 1477-1487 - [i8]Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik:
Summary Markov Models for Event Sequences. CoRR abs/2205.03375 (2022) - 2021
- [c21]Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian:
Ordinal Historical Dependence in Graphical Event Models with Tree Representations. AAAI 2021: 6759-6767 - [c20]Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett:
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS 2021: 17311-17324 - [i7]Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. CoRR abs/2109.12240 (2021) - 2020
- [j10]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): 134-153 (2020) - [c19]Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian:
GaSPing for Utility. AAAI 2020: 2637-2644 - [c18]Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian:
Event-Driven Continuous Time Bayesian Networks. AAAI 2020: 3259-3266 - [c17]Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. AAAI 2020: 3946-3953 - [c16]Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz:
Causal Knowledge Extraction through Large-Scale Text Mining. AAAI 2020: 13610-13611 - [c15]Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian:
Cause-Effect Association between Event Pairs in Event Datasets. IJCAI 2020: 1202-1208 - [c14]Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian:
Order-Dependent Event Models for Agent Interactions. IJCAI 2020: 1977-1983 - [c13]Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao:
State Variable Effects in Graphical Event Models. IJCAI 2020: 4291-4297 - [c12]Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue:
Hawkesian Graphical Event Models. PGM 2020: 569-580 - [i6]Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. CoRR abs/2002.09575 (2020)
2010 – 2019
- 2019
- [j9]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): 7:1-7:18 (2019) - [c11]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: 5003-5009 - 2018
- [c10]Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney:
Generalization across Contexts in Unsupervised Computational Creativity. ICCC 2018: 40-47 - [c9]Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao:
Proximal Graphical Event Models. NeurIPS 2018: 8147-8156 - 2017
- [j8]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): 1:1-1:12 (2017) - [c8]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 - [c7]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: 1570-1579 - 2016
- [c6]Debarun Bhattacharjya:
Preference Models for Creative Artifacts and Systems. ICCC 2016: 52-59 - 2015
- [j7]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): 392-404 (2015) - 2014
- [j6]Debarun Bhattacharjya, Léa A. Deleris:
The Value of Information in Some Variations of the Stopping Problem. Decis. Anal. 11(3): 189-203 (2014) - [j5]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): 1053-1062 (2014) - [c5]Debarun Bhattacharjya, Jeffrey O. Kephart:
Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. UAI 2014: 72-81 - 2013
- [j4]Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji:
The Value of Information in Portfolio Problems with Dependent Projects. Decis. Anal. 10(4): 341-351 (2013) - [i5]Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee:
A Big Data Approach to Computational Creativity. CoRR abs/1311.1213 (2013) - 2012
- [j3]Debarun Bhattacharjya, Léa A. Deleris:
From Reliability Block Diagrams to Fault Tree Circuits. Decis. Anal. 9(2): 128-137 (2012) - [j2]Debarun Bhattacharjya, Ross D. Shachter:
Formulating Asymmetric Decision Problems as Decision Circuits. Decis. Anal. 9(2): 138-145 (2012) - [j1]Rama Akkiraju, Debarun Bhattacharjya, Sammukh Gupta:
Towards effective business process availability management. J. Serv. Sci. Res. 4(2): 319-351 (2012) - [i4]Debarun Bhattacharjya, Ross D. Shachter:
Three new sensitivity analysis methods for influence diagrams. CoRR abs/1203.3467 (2012) - [i3]Ross D. Shachter, Debarun Bhattacharjya:
Dynamic programming in in uence diagrams with decision circuits. CoRR abs/1203.3513 (2012) - [i2]Debarun Bhattacharjya, Ross D. Shachter:
Sensitivity analysis in decision circuits. CoRR abs/1206.3551 (2012) - [i1]Debarun Bhattacharjya, Ross D. Shachter:
Evaluating influence diagrams with decision circuits. CoRR abs/1206.5257 (2012) - 2010
- [c4]Debarun Bhattacharjya, Ross D. Shachter:
Three new sensitivity analysis methods for influence diagrams. UAI 2010: 56-64 - [c3]Ross D. Shachter, Debarun Bhattacharjya:
Dynamic programming in in uence diagrams with decision circuits. UAI 2010: 509-516
2000 – 2009
- 2008
- [c2]Debarun Bhattacharjya, Ross D. Shachter:
Sensitivity analysis in decision circuits. UAI 2008: 34-42 - 2007
- [c1]Debarun Bhattacharjya, Ross D. Shachter:
Evaluating influence diagrams with decision circuits. UAI 2007: 9-16
Coauthor Index
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