Debarun Bhattacharjya
36 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(9)
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(21)
👑
Triple Crown
🏆
Grand Slam
🔬
Deep Specialist
(13)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
📈
Trend Setter
🗃️
Keyword Collector
(152)
🚀
Conference Pioneer
🔥
Unstoppable
(8)
💎
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
Keywords
bayesian network
(6)
causal inference
(6)
temporal point process
(5)
graphical event model
(5)
event sequence
(4)
graphical model
(3)
credal network
(3)
language model
(3)
causal discovery
(3)
large language model
(3)
transformer architecture
(3)
bayesian inference
(3)
multivariate point process
(3)
probabilistic graphical model
(2)
variational inference
(2)
probabilistic modeling
(2)
markov model
(2)
attention mechanism
(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