Debarun Bhattacharjya
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
10
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | QueryGym: Step-by-Step Interaction with Relational Databases. | Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas |
| 2025 | ACL | Knowledge Base Construction for Knowledge-Augmented Text-to-SQL. | Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya |
| 2025 | AISTATS | Q-function Decomposition with Intervention Semantics for Factored Action Spaces. | Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu |
| 2025 | DASFAA | Less Is More: Efficient Weight "Farcasting" with 1-Layer Neural Network. | Xiao Shou, Debarun Bhattacharjya, Yanna Ding, Chen Zhao, Rui Li, Jianxi Gao |
| 2025 | EMNLP | SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models. | Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou |
| 2025 | EMNLP | FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models. | Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth M. Daly, Alessandra Pascale |
| 2025 | ICLR | Shedding Light on Time Series Classification using Interpretability Gated Networks. | Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius |
| 2025 | UAI | The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. | Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee |
| 2024 | AAAI | 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 |
| 2023 | AAAI | Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. | Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou |
| 2023 | AAAI | Concurrent Multi-Label Prediction in Event Streams. | Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett |
| 2023 | ICLR | Weighted Clock Logic Point Process. | Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius |
| 2023 | ICML | Probabilistic Attention-to-Influence Neural Models for Event Sequences. | Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett |
| 2023 | IJCAI | Approximate Inference in Logical Credal Networks. | Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel |
| 2023 | IJCAI | Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. | Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan |
| 2023 | WWW | Event Prediction using Case-Based Reasoning over Knowledge Graphs. | Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh |
| 2022 | ICML | IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data. | Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu |
| 2022 | IJCAI | Summary Markov Models for Event Sequences. | Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik |
| 2022 | IJCAI | 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 |
| 2022 | UAI | Linearizing contextual bandits with latent state dynamics. | Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart |
| 2021 | AAAI | Ordinal Historical Dependence in Graphical Event Models with Tree Representations. | Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian |
| 2020 | AAAI | Event-Driven Continuous Time Bayesian Networks. | Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian |
| 2020 | AAAI | A Multi-Channel Neural Graphical Event Model with Negative Evidence. | Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei |
| 2020 | AAAI | GaSPing for Utility. | Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian |
| 2020 | AAAI | Causal Knowledge Extraction through Large-Scale Text Mining. | Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz |
| 2020 | IJCAI | Cause-Effect Association between Event Pairs in Event Datasets. | Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian |
| 2020 | IJCAI | Order-Dependent Event Models for Agent Interactions. | Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian |
| 2020 | IJCAI | State Variable Effects in Graphical Event Models. | Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao |
| 2019 | IJCAI | 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 |
| 2014 | UAI | Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. | Debarun Bhattacharjya, Jeffrey O. Kephart |
| 2010 | UAI | Three new sensitivity analysis methods for influence diagrams. | Debarun Bhattacharjya, Ross D. Shachter |
| 2010 | UAI | Dynamic programming in in uence diagrams with decision circuits. | Ross D. Shachter, Debarun Bhattacharjya |
| 2008 | UAI | Sensitivity analysis in decision circuits. | Debarun Bhattacharjya, Ross D. Shachter |
| 2007 | UAI | Evaluating influence diagrams with decision circuits. | Debarun Bhattacharjya, Ross D. Shachter |