default search action
Debarun Bhattacharjya
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint