← Authors

Sriraam Natarajan

20 papers · 2012–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (11) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (86) πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (19) ❓ The Questioner (2)

Conferences

AAAI (7) IJCAI (4) UAI (3) AISTATS (2) NIPS (2) PGM (2)

Top co-authors

Kristian Kersting (7) Saurabh Mathur (6) Sahil Sidheekh (6) Yuqiao Chen (3) Nicholas Ruozzi (3) Gautam Kunapuli (2) Athresh Karanam (2) Mayukh Das (2) Predrag Radivojac (2) Nandini Ramanan (2)

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