{"total":23,"rows":[{"id":"2206.00426","title":"Semantic Probabilistic Layers for Neuro-Symbolic Learning","created":"2022-06-01","cited_by_count":103,"area":null},{"id":"2102.10440","title":"Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models","created":"2021-02-20","cited_by_count":22,"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":"2209.10584","title":"Continuous Mixtures of Tractable Probabilistic Models","created":"2022-09-21","cited_by_count":19,"area":null},{"id":"2112.00914","title":"HyperSPNs: Compact and Expressive Probabilistic Circuits","created":"2021-12-02","cited_by_count":14,"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":"2106.08687","title":"Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression","created":"2021-06-16","cited_by_count":8,"area":null},{"id":"2310.16986","title":"Probabilistic Integral Circuits","created":"2023-10-25","cited_by_count":8,"area":null},{"id":"2507.11127","title":"Defining neurosymbolic AI","created":"2025-07-15","cited_by_count":8,"area":null},{"id":"2305.10544","title":"Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks","created":"2023-05-17","cited_by_count":7,"area":null},{"id":"2405.02413","title":"A Unified Framework for Human-Allied Learning of Probabilistic Circuits","created":"2024-05-03","cited_by_count":5,"area":null},{"id":"2105.14367","title":"Deconvolutional Density Network: Modeling Free-Form Conditional Distributions","created":"2021-05-29","cited_by_count":3,"area":null},{"id":"2111.01853","title":"Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks","created":"2021-11-02","cited_by_count":3,"area":null},{"id":"2202.08566","title":"Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs","created":"2022-02-17","cited_by_count":2,"area":null},{"id":"2603.26629","title":"Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2109.06587","title":"Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits","created":"2021-09-14","cited_by_count":1,"area":null},{"id":"2110.12052","title":"A Taxonomy for Inference in Causal Model Families","created":"2021-10-22","cited_by_count":1,"area":null},{"id":"2110.12066","title":"The Causal Loss: Driving Correlation to Imply Causation","created":"2021-10-22","cited_by_count":1,"area":null},{"id":"2206.04140","title":"TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression","created":"2022-06-08","cited_by_count":1,"area":null},{"id":"2106.04148","title":"RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting","created":"2021-06-08","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":"2609.27913","title":"Reliable Fusion of Conflicting Experts","created":"2026-08-21","cited_by_count":0,"area":null}],"next_cursor":null}