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  1. Home
  2. /Repositories
  3. /js05212/BayesianDeepLearning-Survey
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repoGitHubTrust 82 · PrimaryPublished 17d agoLive · 17d ago

js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 47%Benchmarks for live continual learning from ModelBrew [N] →
  • PossiblePossibly related (embedding) · 46%RBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration →
  • PossiblePossibly related (embedding) · 46%Learning from Reliable Latent Prompts for Visual Recognition with Missing Modalities →
  • PossiblePossibly related (embedding) · 45%B3O: Scalable Boltzmann Batch Bayesian Optimization →
  • PossiblePossibly related (embedding) · 49%A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems →

Covers

newsBenchmarks for live continual learning from ModelBrew [N]

Implements

paperRBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal RegistrationpaperLearning from Reliable Latent Prompts for Visual Recognition with Missing ModalitiespaperB3O: Scalable Boltzmann Batch Bayesian Optimization

Implements (incoming)

paperA Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems

Related across the graph

paperB3O: Scalable Boltzmann Batch Bayesian OptimizationpaperLearning from Reliable Latent Prompts for Visual Recognition with Missing ModalitiespaperA Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse ProblemsnewsBenchmarks for live continual learning from ModelBrew [N]paperRBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration
Knowledge path·PB3O: Scalable Boltzmann Batch Bayesian Optimization→PLearning from Reliable Latent Prompts for Visual Recognition with Missing Modalities→PA Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems→Rjs05212/BayesianDeepLearning-Survey

Topics

arxivbayesianbayesian-deep-learningbdldeep-learningmachine-learningneural-networkssurveyvariational-autoencoders

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score522