Bhattacharjya, Debarun

40 publications

ICLRW 2025 Assessing Confidence in Large Language Models by Classifying Task Correctness Using Similarity Features Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu

NeurIPS 2025 Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data Tian Gao, Songtao Lu, Junkyu Lee, Elliot Nelson, Debarun Bhattacharjya, Yue Yu, Miao Liu

AISTATS 2025 Q-Function Decomposition with Intervention Semantics for Factored Action Spaces Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu

ICLR 2025 Shedding Light on Time Series Classification Using Interpretability Gated Networks Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius

UAI 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katya Mirylenka, Nhan H Pham, Michael Glass, Junkyu Lee

NeurIPS 2024 Abductive Reasoning in Logical Credal Networks Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fabio Cozman, Alexander Gray

AAAI 2024 CHRONOS: A Schema-Based Event Understanding and Prediction System 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

IJCAI 2023 Approximate Inference in Logical Credal Networks Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel

AAAI 2023 Concurrent Multi-Label Prediction in Event Streams Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

NeurIPS 2023 Credal Marginal MAP Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray

CLeaR 2023 Influence-Aware Attention for Multivariate Temporal Point Processes Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin Bennett

NeurIPS 2023 Pairwise Causality Guided Transformers for Event Sequences Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P Bennett

ICML 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin Bennett

IJCAI 2023 Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan

AAAI 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou

ICLR 2023 Weighted Clock Logic Point Process Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius

NeurIPS 2022 Hedging as Reward Augmentation in Probabilistic Graphical Models Debarun Bhattacharjya, Radu Marinescu

ICML 2022 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu

IJCAI 2022 Knowledge-Based News Event Analysis and Forecasting Toolkit Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip

UAI 2022 Linearizing Contextual Bandits with Latent State Dynamics Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart

NeurIPS 2022 Logical Credal Networks Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu

CLeaR 2022 Process Independence Testing in Proximal Graphical Event Models Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian

IJCAI 2022 Summary Markov Models for Event Sequences Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik

NeurIPS 2021 Causal Inference for Event Pairs in Multivariate Point Processes Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P Bennett

AAAI 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

AAAI 2020 A Multi-Channel Neural Graphical Event Model with Negative Evidence Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

AAAI 2020 Causal Knowledge Extraction Through Large-Scale Text Mining Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz

IJCAI 2020 Cause-Effect Association Between Event Pairs in Event Datasets Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian

AAAI 2020 Event-Driven Continuous Time Bayesian Networks Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian

AAAI 2020 GaSPing for Utility Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian

PGM 2020 Hawkesian Graphical Event Models Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue

IJCAI 2020 Order-Dependent Event Models for Agent Interactions Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

IJCAI 2020 State Variable Effects in Graphical Event Models Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

IJCAI 2019 Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz

NeurIPS 2018 Proximal Graphical Event Models Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

UAI 2014 Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps Debarun Bhattacharjya, Jeffrey O. Kephart

UAI 2010 Dynamic Programming in in Uence Diagrams with Decision Circuits Ross D. Shachter, Debarun Bhattacharjya

UAI 2010 Three New Sensitivity Analysis Methods for Influence Diagrams Debarun Bhattacharjya, Ross D. Shachter

UAI 2008 Sensitivity Analysis in Decision Circuits Debarun Bhattacharjya, Ross D. Shachter

UAI 2007 Evaluating Influence Diagrams with Decision Circuits Debarun Bhattacharjya, Ross D. Shachter