{"total":13,"rows":[{"id":"2306.06955","title":"A Brief Review of Hypernetworks in Deep Learning","created":"2023-06-12","cited_by_count":102,"area":null},{"id":"2210.04398","title":"Scaling Up Probabilistic Circuits by Latent Variable Distillation","created":"2022-10-10","cited_by_count":35,"area":null},{"id":"2209.10584","title":"Continuous Mixtures of Tractable Probabilistic Models","created":"2022-09-21","cited_by_count":19,"area":null},{"id":"2302.08086","title":"Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits","created":"2023-02-16","cited_by_count":19,"area":null},{"id":"2211.12551","title":"Sparse Probabilistic Circuits via Pruning and Growing","created":"2022-11-22","cited_by_count":17,"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":"2310.16986","title":"Probabilistic Integral Circuits","created":"2023-10-25","cited_by_count":8,"area":null},{"id":"2403.06235","title":"Probabilistic Neural Circuits","created":"2024-03-10","cited_by_count":7,"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":"2603.26629","title":"Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits","created":"2026-03-27","cited_by_count":2,"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":"2603.11946","title":"Geometry-Aware Probabilistic Circuits via Voronoi Tessellations","created":"2026-03-12","cited_by_count":1,"area":null}],"next_cursor":null}