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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bayesian network
(6)
causal inference
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temporal point process
(6)
graphical event model
(5)
event sequence
(4)
large language model
(4)
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(3)
bayesian inference
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causal discovery
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multivariate point process
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language model
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credal network
(3)
probabilistic model
(2)
variational inference
(2)
probabilistic graphical model
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probabilistic modeling
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granger causality
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point process
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probabilistic logic
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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