Dharmashankar Subramanian
19 papers · 2014–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(17)
ποΈ
Keyword Collector
(103)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Renaissance Researcher
(7)
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Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(15)
Machine Learning
(15)
Bayesian & Probabilistic Β· Artificial Intelligence
(10)
Core AI
(10)
Core Methods
(9)
Optimization & Theory
(7)
Deep Learning
(6)
Bayesian & Probabilistic Β· Machine Learning
(6)
Learning Types
(6)
Knowledge & Reasoning
(5)
Architectures
(5)
Data Science & Analytics
(4)
Methods
(4)
Reasoning
(4)
Mathematics & Optimization
(2)
Keywords
temporal point process
(5)
graphical event model
(5)
causal inference
(5)
bayesian network
(4)
multivariate point process
(3)
graphical model
(3)
transformer architecture
(3)
event model
(2)
causal discovery
(2)
structure learning
(2)
bayesian inference
(2)
event sequence
(2)
variational inference
(2)
continuous-time bayesian network
(2)
attention mechanism
(2)
probabilistic modeling
(2)
temporal event
(2)
point process
(2)
preference learning
(1)
temporal sequence
(1)
Papers
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
ACL 2025
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
ICML 2024
Concurrent Multi-Label Prediction in Event Streams
AAAI 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
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
AAAI 2023
Process Independence Testing in Proximal Graphical Event Models
CLeaR 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
Proximal Graphical Event Models
NeurIPS 2018
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
NeurIPS 2014