Sriraam Natarajan
20 papers · 2012–2026 · 6 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
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Deep Specialist
(11)
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Keyword Champion
π
Century Club Β· Bronze
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Conference Pioneer
π
Trend Setter
β
The Questioner
(2)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(97)
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(16)
Bayesian & Probabilistic Β· Artificial Intelligence
(13)
Bayesian & Probabilistic Β· Machine Learning
(11)
Core Methods
(11)
Deep Learning
(8)
Models
(6)
Core AI
(5)
Optimization & Theory
(5)
Learning Types
(4)
Learning Paradigms
(3)
Data Science & Analytics
(2)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Keywords
probabilistic circuit
(5)
bayesian network
(3)
sum-product network
(3)
probabilistic graphical model
(3)
parameter learning
(3)
explanation generation
(2)
probabilistic model
(2)
variational inference
(2)
domain knowledge
(2)
probabilistic modeling
(2)
generative model
(2)
lifted inference
(2)
message passing
(2)
relational learning
(2)
statistical relational learning
(2)
discriminative learning
(2)
machine learning
(2)
gradient boosting
(2)
nonparametric learning
(1)
bayesian inference
(1)
Papers
Tractable Sharpness-Aware Learning of Probabilistic Circuits
AAAI 2026
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI 2025
Credibility-Aware Multimodal Fusion Using Probabilistic Circuits
AISTATS 2025
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
AAAI 2025
Building Expressive and Tractable Probabilistic Generative Models: A Review
IJCAI 2024
Knowledge Intensive Learning of Credal Networks
UAI 2024
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
AAAI 2024
Knowledge Intensive Learning of Cutset Networks
UAI 2023
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference
UAI 2023
Explaining Deep Tractable Probabilistic Models: The sum-product network case
PGM 2022
Relational Neural Markov Random Fields
AISTATS 2022
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
NeurIPS 2021
Relational Boosted Bandits
AAAI 2021
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains
AAAI 2020
Discriminative Non-Parametric Learning of Arithmetic Circuits
PGM 2020
Lifted Hybrid Variational Inference
IJCAI 2020
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
AAAI 2019
Lifted Message Passing for Hybrid Probabilistic Inference
IJCAI 2019
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach
IJCAI 2018
Multiplicative Forests for Continuous-Time Processes
NeurIPS 2012