Smoothing Structured Decomposable Circuits
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Abstract (arXiv)
We study the task of smoothing a circuit, i.e., ensuring that all children of a plus-gate mention the same variables. Circuits serve as the building blocks of state-of-the-art inference algorithms on discrete probabilistic graphical models and probabilistic programs. They are also important for discrete density estimation algorithms. Many of these tasks require the input circuit to be smooth. However, smoothing has not been studied in its own right yet, and only a trivial quadratic algorithm is known. This paper studies efficient smoothing for structured decomposable circuits. We propose a near-linear time algorithm for this task and explore lower bounds for smoothing decomposable circuits, using existing results on range-sum queries. Further, for the important case of All-Marginals, we show a more efficient linear-time algorithm. We validate experimentally the performance of our methods.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2019.
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Citing papers per year: 2021: 4; 2022: 2; 2023: 2; 2024: 4; 2025: 2.
14 papers.
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- 2021On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Resultscited by 32
- 2021Probabilistic Generating Circuitscited by 24
- 2021Lossless Compression with Probabilistic Circuitscited by 20
- 2024Polynomial Semantics of Tractable Probabilistic Circuitscited by 12
- 2023Compositional Probabilistic and Causal Inference using Tractable Circuit Modelscited by 10
- 2022Tractable Boolean and Arithmetic Circuitscited by 9
- 2021A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queriescited by 7
- 2024Probabilistic Generating Circuits -- Demystifiedcited by 4
- 2023Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilationcited by 3
- 2024GraphSPNs: Sum-Product Networks Benefit From Canonical Orderingscited by 2
- 2022Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuitscited by 1
- 2025The Gradient of Algebraic Model Countingcited by 1
2 more
- 2024Pruning Boolean d-DNNF Circuits Through Tseitin-Awarenesscited by 0
- 2025Numerical Considerations in Weighted Model Countingcited by 0
- 2025Numerical Considerations in Weighted Model Counting8 Aug 2025
- 2025The Gradient of Algebraic Model Counting25 Feb 2025
- 2024GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings18 Aug 2024
- 2024Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness25 Jul 2024
- 2024Probabilistic Generating Circuits -- Demystified4 Mar 2024
- 2024Polynomial Semantics of Tractable Probabilistic Circuits14 Feb 2024
- 2023Compositional Probabilistic and Causal Inference using Tractable Circuit Models17 Apr 2023
- 2023Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation11 Mar 2023
- 2022Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuits11 Feb 2022
- 2022Tractable Boolean and Arithmetic Circuits7 Feb 2022
- 2021Lossless Compression with Probabilistic Circuits23 Nov 2021
- 2021On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results16 Apr 2021
- 2021On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Resultscited by 32
- 2021Probabilistic Generating Circuitscited by 24
- 2021Lossless Compression with Probabilistic Circuitscited by 20
- 2024Polynomial Semantics of Tractable Probabilistic Circuitscited by 12
- 2023Compositional Probabilistic and Causal Inference using Tractable Circuit Modelscited by 10
- 2022Tractable Boolean and Arithmetic Circuitscited by 9
- 2021A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queriescited by 7
- 2024Probabilistic Generating Circuits -- Demystifiedcited by 4
- 2023Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilationcited by 3
- 2024GraphSPNs: Sum-Product Networks Benefit From Canonical Orderingscited by 2
- 2022Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuitscited by 1
- 2025The Gradient of Algebraic Model Countingcited by 1
12 most cited of 14 All 14 (JSON)
- 2025Numerical Considerations in Weighted Model Counting8 Aug 2025
- 2025The Gradient of Algebraic Model Counting25 Feb 2025
- 2024GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings18 Aug 2024
- 2024Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness25 Jul 2024
- 2024Probabilistic Generating Circuits -- Demystified4 Mar 2024
- 2024Polynomial Semantics of Tractable Probabilistic Circuits14 Feb 2024
- 2023Compositional Probabilistic and Causal Inference using Tractable Circuit Models17 Apr 2023
- 2023Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation11 Mar 2023
- 2022Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuits11 Feb 2022
- 2022Tractable Boolean and Arithmetic Circuits7 Feb 2022
- 2021Lossless Compression with Probabilistic Circuits23 Nov 2021
- 2021On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results16 Apr 2021
12 newest of 14 All 14 (JSON)