probabilistic circuit

A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI 2026 A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 Tractable Sharpness-Aware Learning of Probabilistic Circuits AAAI 2026 Approximate Bayesian Inference via Bitstring Representations UAI 2025 A Quantum Information Theoretic Approach to Tractable Probabilistic Models UAI 2025 A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025 Credibility-Aware Multimodal Fusion Using Probabilistic Circuits AISTATS 2025 Hyperparameter Optimization via Interacting with Probabilistic Circuits AutoML 2025 On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025 Optimal Transport for Probabilistic Circuits UAI 2025 Restructuring Tractable Probabilistic Circuits AISTATS 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 Scaling Probabilistic Circuits via Monarch Matrices ICML 2025 Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits ICML 2025 Sum of Squares Circuits AAAI 2025 $Ψ$net: Efficient Causal Modeling at Scale PGM 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024 Image Inpainting via Tractable Steering of Diffusion Models ICLR 2024 Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024 On Hardware-efficient Inference in Probabilistic Circuits UAI 2024 On the Expressive Power of Tree-Structured Probabilistic Circuits NeurIPS 2024 Polynomial Semantics of Tractable Probabilistic Circuits UAI 2024 Probabilistic Integral Circuits AISTATS 2024