eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions
arXiv 2607.01275•b91ccba7fac7e45db2270507bfdba91a18c79ae51b2d0a4020b641cb36966d3e
approximate-bayesian-computationbayesian-reinforcement-learningcheminformaticsconformal-predictioncounterfactual-decision-makingfeature-importancegenerative-modelsgnngraph-neural-networksinterpretabilityk-meanslikelihood-freellm-personamachine-learningmissing-datamodel-evaluationneural-network-theorypolicy-uncertaintyshapleysolubility-predictiontime-seriesvaevariational-autoencodervariational-formulation
Paper metadata
- arXiv ID
- 2607.01275
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- b91ccba7fac7e45db2270507bfdba91a18c79ae51b2d0a4020b641cb36966d3e
- Enrichment time
- 2026-07-03T07:23:55Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.