PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
arXiv 2603.23547•384654b1295cb584d63e1b37974f5de8fef98a5ec6196a97a54e9b6948cff82d
Bayesian OptimizationCausal InferenceCausal Representation LearningClusteringContextual RegressionContinuous Glucose MonitoringDeep Learning TheoryDifferential PrivacyFairnessFederated LearningGaussian Mixture ModelGraph Neural NetworksIndependent Component AnalysisMass Agreement ScoreNeural ODENonparametric CoxOOD GeneralizationOptimal TransportParallel TransportSentiment ReconstructionSingle-cell RNA-seqSurvival AnalysisTrust RegionVAEWasserstein
Paper metadata
- arXiv ID
- 2603.23547
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 384654b1295cb584d63e1b37974f5de8fef98a5ec6196a97a54e9b6948cff82d
- Enrichment time
- 2026-03-26T07:23:57Z
- AI-assisted enrichment
- Yes
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