{"total":37,"rows":[{"id":"2406.00766","title":"Scaling Tractable Probabilistic Circuits: A Systems Perspective","created":"2024-06-02","cited_by_count":23,"area":null},{"id":"2409.07953","title":"What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?","created":"2024-09-12","cited_by_count":22,"area":null},{"id":"2408.11778","title":"Sum of Squares Circuits","created":"2024-08-21","cited_by_count":21,"area":null},{"id":"2408.00876","title":"On the Relationship Between Monotone and Squared Probabilistic Circuits","created":"2024-08-01","cited_by_count":14,"area":null},{"id":"2503.10148","title":"3D Student Splatting and Scooping","created":"2025-03-13","cited_by_count":14,"area":null},{"id":"2402.00759","title":"Building Expressive and Tractable Probabilistic Generative Models: A Review","created":"2024-02-01","cited_by_count":12,"area":null},{"id":"2410.24054","title":"EigenVI: score-based variational inference with orthogonal function expansions","created":"2024-10-31","cited_by_count":11,"area":null},{"id":"2503.19466","title":"A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction","created":"2025-03-25","cited_by_count":11,"area":null},{"id":"2406.06494","title":"Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits","created":"2024-06-10","cited_by_count":9,"area":null},{"id":"2506.12383","title":"Scaling Probabilistic Circuits via Monarch Matrices","created":"2025-06-14","cited_by_count":9,"area":null},{"id":"2511.11346","title":"Fast and Expressive Multi-Byte Prediction with Probabilistic Circuits","created":"2025-11-14","cited_by_count":9,"area":null},{"id":"2411.12256","title":"Restructuring Tractable Probabilistic Circuits","created":"2024-11-19","cited_by_count":7,"area":null},{"id":"2512.17090","title":"How to Square Tensor Networks and Circuits Without Squaring Them","created":"2025-12-18","cited_by_count":5,"area":null},{"id":"2503.23832","title":"An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function","created":"2025-03-31","cited_by_count":4,"area":null},{"id":"2507.04385","title":"Tractable Representation Learning with Probabilistic Circuits","created":"2025-07-06","cited_by_count":4,"area":null},{"id":"2508.05537","title":"Tractable Sharpness-Aware Learning of Probabilistic Circuits","created":"2025-08-07","cited_by_count":3,"area":null},{"id":"2512.17473","title":"Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions","created":"2025-12-19","cited_by_count":3,"area":null},{"id":"2601.14894","title":"To Neuro-Symbolic Classification and Beyond by Compiling Description Logic Ontologies to Probabilistic Circuits","created":"2026-01-21","cited_by_count":3,"area":null},{"id":"2602.14656","title":"An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale","created":"2026-02-16","cited_by_count":3,"area":null},{"id":"2312.08075","title":"TERM Model: Tensor Ring Mixture Model for Density Estimation","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2408.09451","title":"GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings","created":"2024-08-18","cited_by_count":2,"area":null},{"id":"2412.07883","title":"On Faster Marginalization with Squared Circuits via Orthonormalization","created":"2024-12-10","cited_by_count":2,"area":null},{"id":"2506.12020","title":"The Limits of Tractable Marginalization","created":"2025-04-17","cited_by_count":2,"area":null},{"id":"2503.12162","title":"Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs","created":"2025-03-15","cited_by_count":1,"area":null},{"id":"2503.21128","title":"Squared families: Searching beyond regular probability models","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2506.01824","title":"A Quantum Information Theoretic Approach to Tractable Probabilistic Models","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2507.01542","title":"Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles","created":"2025-07-02","cited_by_count":1,"area":null},{"id":"2602.08681","title":"The Theory and Practice of MAP Inference over Non-Convex Constraints","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.11946","title":"Geometry-Aware Probabilistic Circuits via Voronoi Tessellations","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2603.23016","title":"A Sobering Look at Tabular Data Generation via Probabilistic Circuits","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2604.06559","title":"ExplainFuzz: Explainable and Constraint-Conditioned Test Generation with Probabilistic Circuits","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2604.16714","title":"How to Approximate Inference with Subtractive Mixture Models","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2604.21407","title":"Even More Guarantees for Variational Inference in the Presence of Symmetries","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2503.21346","title":"Scalable Expectation Estimation with Subtractive Mixture Models","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2511.16054","title":"Learning Tractable Distributions Of Language Model Continuations","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2604.07525","title":"Learning Markov Processes as Sum-of-Square Forms for Analytical Belief Propagation","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2607.04875","title":"On the Complexity of Low-Rank Matrix Signing and Entrywise Power Matrix Factorization","created":"2026-07-06","cited_by_count":0,"area":null}],"next_cursor":null}