Sriraam Natarajan
20 papers · 2012–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (6)
π
Conference Polyglot
(6)
π
Academic Marathon
(13)
π
Cross-Pollinator
(11)
π
Keyword Champion
ποΈ
Keyword Collector
(86)
π₯
Unstoppable
(8)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(19)
β
The Questioner
(2)
Conferences
AAAI (7)
IJCAI (4)
UAI (3)
AISTATS (2)
NIPS (2)
PGM (2)
Top co-authors
Keywords
probabilistic circuit
(4)
sum-product network
(3)
probabilistic modeling
(2)
probabilistic graphical model
(2)
statistical relational learning
(2)
machine learning
(2)
parameter learning
(2)
gradient boosting
(2)
generative model
(2)
bayesian network
(2)
lifted inference
(2)
variational inference
(2)
message passing
(2)
relational learning
(2)
domain knowledge
(2)
bethe approximation
(1)
explanation generation
(1)
expectation maximization
(1)
bayesian inference
(1)
approximate 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
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
Building Expressive and Tractable Probabilistic Generative Models: A Review
IJCAI 2024
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference
UAI 2023
Knowledge Intensive Learning of Cutset Networks
UAI 2023
Explaining Deep Tractable Probabilistic Models: The sum-product network case
PGM 2022
Relational Neural Markov Random Fields
AISTATS 2022
Relational Boosted Bandits
AAAI 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
NIPS 2021
Lifted Hybrid Variational Inference
IJCAI 2020
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 Message Passing for Hybrid Probabilistic Inference
IJCAI 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
AAAI 2019
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach
IJCAI 2018
Multiplicative Forests for Continuous-Time Processes
NIPS 2012