Debarun Bhattacharjya

83 papers A* 29A 8C 2Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Process Supervision for Chain-of-Thought Reasoning via Monte Carlo Net Information Gain.
CoRR
Corentin Royer, Debarun Bhattacharjya, Gaetano Rossiello, Andrea Giovannini, Mennatallah El-Assady
2026 A* conf
QueryGym: Step-by-Step Interaction with Relational Databases.
AAAI
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2025 — conf
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models.
EMNLP (Findings)
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth M. Daly, Alessandra Pascale
2025 J jnl
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models.
CoRR
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth Daly, Alessandra Pascale
2025 — conf
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL.
ACL (Findings)
Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya
2025 J jnl
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL.
CoRR
Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya
2025 J jnl
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network.
CoRR
Xiao Shou, Debarun Bhattacharjya, Yanna Ding, Chen Zhao, Rui Li, Jianxi Gao
2025 A conf
Q-function Decomposition with Intervention Semantics for Factored Action Spaces.
AISTATS
Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
2025 J jnl
Q-function Decomposition with Intervention Semantics with Factored Action Spaces.
CoRR
Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
2025 J jnl
QueryGym: Step-by-Step Interaction with Relational Databases.
CoRR
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2025 — conf
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models.
EMNLP (Findings)
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025 J jnl
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models.
CoRR
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025 A* conf
Shedding Light on Time Series Classification using Interpretability Gated Networks.
ICLR
Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius
2025 A conf
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models.
UAI
Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025 J jnl
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models.
CoRR
Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025 J jnl
What Would an LLM Do? Evaluating Policymaking Capabilities of Large Language Models.
CoRR
Pierre Le Coz, Jia An Liu, Debarun Bhattacharjya, Georgina Curto, Serge Stinckwich
2024 A* conf
Abductive Reasoning in Logical Credal Networks.
NeurIPS
Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fábio G. Cozman, Alexander G. Gray
2024 A* conf
CHRONOS: A Schema-Based Event Understanding and Prediction System.
AAAI
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
2024 — conf
Distilling Event Sequence Knowledge From Large Language Models.
ISWC (1)
Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker, Jian Ni
2024 J jnl
Distilling Event Sequence Knowledge From Large Language Models.
CoRR
Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker, Jian Ni
2024 J jnl
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning.
CoRR
Debarun Bhattacharjya, Junkyu Lee, Don Joven Agravante, Balaji Ganesan, Radu Marinescu
2024 J jnl
Markov conditions and factorization in logical credal networks.
Int. J. Approx. Reason.
Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya
2024 J jnl
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes.
CoRR
Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett
2023 — conf
A Case-Based Reasoning Approach to Knowledge-Based Event Prediction.
ISWC (Posters/Demos/Industry)
Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
2023 A* conf
Approximate Inference in Logical Credal Networks.
IJCAI
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel
2023 A* conf
Concurrent Multi-Label Prediction in Event Streams.
AAAI
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
2023 A* conf
Credal Marginal MAP.
NeurIPS
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fábio G. Cozman, Alexander G. Gray
2023 A* conf
Event Prediction using Case-Based Reasoning over Knowledge Graphs.
WWW
Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
2023 J jnl
Event Prediction using Case-Based Reasoning over Knowledge Graphs.
CoRR
Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh
2023 — conf
Influence-Aware Attention for Multivariate Temporal Point Processes.
CLeaR
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
2023 A* conf
Pairwise Causality Guided Transformers for Event Sequences.
NeurIPS
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
2023 A* conf
Probabilistic Attention-to-Influence Neural Models for Event Sequences.
ICML
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
2023 A* conf
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models.
IJCAI
Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan
2023 A* conf
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation.
AAAI
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou
2023 A* conf
Weighted Clock Logic Point Process.
ICLR
Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius
2022 A* conf
Hedging as Reward Augmentation in Probabilistic Graphical Models.
NeurIPS
Debarun Bhattacharjya, Radu Marinescu
2022 A* conf
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data.
ICML
Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu
2022 — conf
Knowledge-Based News Event Analysis Toolkit.
ISWC (Posters/Demos/Industry)
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
2022 A* conf
Knowledge-Based News Event Analysis and Forecasting Toolkit.
IJCAI
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip
2022 A conf
Linearizing contextual bandits with latent state dynamics.
UAI
Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart
2022 A* conf
Logical Credal Networks.
NeurIPS
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
2022 — conf
Process Independence Testing in Proximal Graphical Event Models.
CLeaR
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian
2022 — conf
Rule-Based Link Prediction over Event-Related Causal Knowledge in Wikidata.
Wikidata@ISWC
Sola S. Shirai, Aamod Khatiwada, Oktie Hassanzadeh, Debarun Bhattacharjya
2022 A* conf
Summary Markov Models for Event Sequences.
IJCAI
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
2022 J jnl
Summary Markov Models for Event Sequences.
CoRR
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
2021 A* conf
Causal Inference for Event Pairs in Multivariate Point Processes.
NeurIPS
Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett
2021 J jnl
Logical Credal Networks.
CoRR
Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
2021 A* conf
Ordinal Historical Dependence in Graphical Event Models with Tree Representations.
AAAI
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
2020 A* conf
A Multi-Channel Neural Graphical Event Model with Negative Evidence.
AAAI
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
2020 J jnl
A Multi-Channel Neural Graphical Event Model with Negative Evidence.
CoRR
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
2020 A* conf
Causal Knowledge Extraction through Large-Scale Text Mining.
AAAI
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
2020 A* conf
Cause-Effect Association between Event Pairs in Event Datasets.
IJCAI
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian
2020 A* conf
Event-Driven Continuous Time Bayesian Networks.
AAAI
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian
2020 A* conf
GaSPing for Utility.
AAAI
Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian
2020 — conf
Hawkesian Graphical Event Models.
PGM
Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue
2020 A* conf
Order-Dependent Event Models for Agent Interactions.
IJCAI
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
2020 A* conf
State Variable Effects in Graphical Event Models.
IJCAI
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
2020 J jnl
Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance.
Decis. Anal.
Hans Olav Vogt Myklebust, Jo Eidsvik, Iver Bakken Sperstad, Debarun Bhattacharjya
2019 J jnl
A big data approach to computational creativity: The curious case of Chef Watson.
IBM J. Res. Dev.
Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
2019 A* conf
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts.
IJCAI
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
2018 C conf
Generalization across Contexts in Unsupervised Computational Creativity.
ICCC
Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney
2018 A* conf
Proximal Graphical Event Models.
NeurIPS
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
2017 — conf
A cognitive assistant for risk identification and modeling.
IEEE BigData
Dharmashankar Subramanian, Debarun Bhattacharjya, Ruben Rodriguez Torrado, Jeffrey O. Kephart, Vijil Chenthamarakshan, Jesus Rios
2017 J jnl
Effectiveness of peer detailing in a diarrhea program in Nigeria.
IBM J. Res. Dev.
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jan Houdek, M. Abubakar, Abdulwahab Alharbi, Tiwadayo Braimoh, N. Ihebuzor, Aleksandra Mojsilovic, Kush R. Varshney
2017 — conf
Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments.
AAAI Spring Symposia
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilovic
2016 C conf
Preference Models for Creative Artifacts and Systems.
ICCC
Debarun Bhattacharjya
2015 J jnl
Track geometry defect rectification based on track deterioration modelling and derailment risk assessment.
J. Oper. Res. Soc.
Qing He, Hongfei Li, Debarun Bhattacharjya, Dhaivat Parikh, Arun Hampapur
2014 J jnl
A Myopic Approach to OrderingNodes for Parameter Elicitationin Bayesian Belief Networks.
IEEE Trans. Knowl. Data Eng.
Debarun Bhattacharjya, Léa A. Deleris, Bonnie Ray
2014 A conf
Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps.
UAI
Debarun Bhattacharjya, Jeffrey O. Kephart
2014 J jnl
The Value of Information in Some Variations of the Stopping Problem.
Decis. Anal.
Debarun Bhattacharjya, Léa A. Deleris
2013 J jnl
A Big Data Approach to Computational Creativity.
CoRR
Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
2013 J jnl
The Value of Information in Portfolio Problems with Dependent Projects.
Decis. Anal.
Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji
2012 J jnl
Dynamic programming in in uence diagrams with decision circuits
CoRR
Ross D. Shachter, Debarun Bhattacharjya
2012 J jnl
Evaluating influence diagrams with decision circuits
CoRR
Debarun Bhattacharjya, Ross D. Shachter
2012 J jnl
Formulating Asymmetric Decision Problems as Decision Circuits.
Decis. Anal.
Debarun Bhattacharjya, Ross D. Shachter
2012 J jnl
From Reliability Block Diagrams to Fault Tree Circuits.
Decis. Anal.
Debarun Bhattacharjya, Léa A. Deleris
2012 J jnl
Sensitivity analysis in decision circuits
CoRR
Debarun Bhattacharjya, Ross D. Shachter
2012 J jnl
Three new sensitivity analysis methods for influence diagrams
CoRR
Debarun Bhattacharjya, Ross D. Shachter
2012 J jnl
Towards effective business process availability management.
J. Serv. Sci. Res.
Rama Akkiraju, Debarun Bhattacharjya, Sammukh Gupta
2010 A conf
Dynamic programming in in uence diagrams with decision circuits.
UAI
Ross D. Shachter, Debarun Bhattacharjya
2010 A conf
Three new sensitivity analysis methods for influence diagrams.
UAI
Debarun Bhattacharjya, Ross D. Shachter
2008 A conf
Sensitivity analysis in decision circuits.
UAI
Debarun Bhattacharjya, Ross D. Shachter
2007 A conf
Evaluating influence diagrams with decision circuits.
UAI
Debarun Bhattacharjya, Ross D. Shachter