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Debarun Bhattacharjya

36 papers · 2018–2026 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (59) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🀝 Dynamic Duo (21) 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘‘ Triple Crown 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (169)

Papers

QueryGym: Step-by-Step Interaction with Relational Databases AAAI 2026 FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025 Knowledge Base Construction for Knowledge-Augmented Text-to-SQL ACL 2025 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 Shedding Light on Time Series Classification using Interpretability Gated Networks ICLR 2025 SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models UAI 2025 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 CHRONOS: A Schema-Based Event Understanding and Prediction System AAAI 2024 Approximate Inference in Logical Credal Networks IJCAI 2023 Concurrent Multi-Label Prediction in Event Streams AAAI 2023 Credal Marginal MAP NeurIPS 2023 Influence-Aware Attention for Multivariate Temporal Point Processes CLeaR 2023 Pairwise Causality Guided Transformers for Event Sequences NeurIPS 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023 Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models IJCAI 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023 Weighted Clock Logic Point Process ICLR 2023 Hedging as Reward Augmentation in Probabilistic Graphical Models NeurIPS 2022 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022 Knowledge-Based News Event Analysis and Forecasting Toolkit IJCAI 2022 Linearizing contextual bandits with latent state dynamics UAI 2022 Logical Credal Networks NeurIPS 2022 Process Independence Testing in Proximal Graphical Event Models CLeaR 2022 Summary Markov Models for Event Sequences IJCAI 2022 Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021 A Multi-Channel Neural Graphical Event Model with Negative Evidence AAAI 2020 Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020 Event-Driven Continuous Time Bayesian Networks AAAI 2020 GaSPing for Utility AAAI 2020 Hawkesian Graphical Event Models PGM 2020 Order-Dependent Event Models for Agent Interactions IJCAI 2020 State Variable Effects in Graphical Event Models IJCAI 2020 Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts IJCAI 2019 Proximal Graphical Event Models NeurIPS 2018