{"total":13,"rows":[{"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":"2504.08544","title":"Slicing the Gaussian Mixture Wasserstein Distance","created":"2025-04-11","cited_by_count":7,"area":null},{"id":"2206.03934","title":"A Study of Continual Learning Methods for Q-Learning","created":"2022-06-08","cited_by_count":3,"area":null},{"id":"2303.13157","title":"Adiabatic replay for continual learning","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2307.04094","title":"Class-Incremental Mixture of Gaussians for Deep Continual Learning","created":"2023-07-09","cited_by_count":3,"area":null},{"id":"2407.12200","title":"This Probably Looks Exactly Like That: An Invertible Prototypical Network","created":"2024-07-16","cited_by_count":3,"area":null},{"id":"2410.13421","title":"Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces","created":"2024-10-17","cited_by_count":3,"area":null},{"id":"2203.11034","title":"A new perspective on probabilistic image modeling","created":"2022-03-21","cited_by_count":2,"area":null},{"id":"2306.14361","title":"A differentiable Gaussian Prototype Layer for explainable Segmentation","created":"2023-06-25","cited_by_count":2,"area":null},{"id":"2308.13778","title":"Large-scale gradient-based training of Mixtures of Factor Analyzers","created":"2023-08-26","cited_by_count":0,"area":null},{"id":"2409.05937","title":"Hierarchical novel class discovery for single-cell transcriptomic profiles","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2412.11631","title":"A Mapper Algorithm with implicit intervals and its optimization","created":"2024-12-16","cited_by_count":0,"area":null},{"id":"2602.21509","title":"Fair Model-based Clustering","created":"2026-02-25","cited_by_count":0,"area":null}],"next_cursor":null}