← Authors

Debarun Bhattacharjya

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

Achievements

🌍 Conference Polyglot (11) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (58) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (21) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (152) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (35) ⚑ Prolific Year (7)

Conferences

AAAI (8) IJCAI (8) NIPS (7) CLEAR (2) EMNLP (2) ICLR (2) ICML (2) UAI (2) ACL (1) AISTATS (1) PGM (1)

Top co-authors

Tian Gao (21) Dharmashankar Subramanian (17) Radu Marinescu (8) Oktie Hassanzadeh (8) Xiao Shou (7) Junkyu Lee (6) Nicholas Mattei (4) Karthikeyan Shanmugam (4) Ronny Luss (3) Elliot Nelson (3)

Keywords

bayesian network (6) causal inference (6) temporal point process (5) graphical event model (5) event sequence (4) language model (3) graphical model (3) credal network (3) causal discovery (3) multivariate point process (3) bayesian inference (3) transformer architecture (3) large language model (3) structure learning (2) probabilistic graphical model (2) variational inference (2) probabilistic modeling (2) markov model (2) approximate inference (2) marginal map (2)

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
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025
Shedding Light on Time Series Classification using Interpretability Gated Networks ICLR 2025
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models UAI 2025
CHRONOS: A Schema-Based Event Understanding and Prediction System AAAI 2024
Abductive Reasoning in Logical Credal Networks NIPS 2024
Weighted Clock Logic Point Process ICLR 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 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
Approximate Inference in Logical Credal Networks IJCAI 2023
Pairwise Causality Guided Transformers for Event Sequences NIPS 2023
Credal Marginal MAP NIPS 2023
Influence-Aware Attention for Multivariate Temporal Point Processes CLEAR 2023
Concurrent Multi-Label Prediction in Event Streams AAAI 2023
Process Independence Testing in Proximal Graphical Event Models CLEAR 2022
Summary Markov Models for Event Sequences IJCAI 2022
Knowledge-Based News Event Analysis and Forecasting Toolkit IJCAI 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models NIPS 2022
Linearizing contextual bandits with latent state dynamics UAI 2022
Logical Credal Networks NIPS 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022
Causal Inference for Event Pairs in Multivariate Point Processes NIPS 2021
Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021
Event-Driven Continuous Time Bayesian Networks AAAI 2020
Order-Dependent Event Models for Agent Interactions IJCAI 2020
Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020
A Multi-Channel Neural Graphical Event Model with Negative Evidence AAAI 2020
State Variable Effects in Graphical Event Models IJCAI 2020
GaSPing for Utility AAAI 2020
Hawkesian Graphical Event Models PGM 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 NIPS 2018