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  1. Home
  2. /Repositories
  3. /lanl-ansi/MathOptAI.jl
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 26d ago

lanl-ansi/MathOptAI.jl

Embed trained machine learning predictors into JuMP and ExaModels

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%LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning →
  • PossiblePossibly related (embedding) · 48%Neuron-Aware Active Few-Shot Learning for LLMs →

Implements

paperLeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning

Implements (incoming)

paperNeuron-Aware Active Few-Shot Learning for LLMs

Related across the graph

paperNeuron-Aware Active Few-Shot Learning for LLMspaperLeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning
Knowledge path·PNeuron-Aware Active Few-Shot Learning for LLMs→PLeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning→Rlanl-ansi/MathOptAI.jl

Topics

artificial-intelligencejump-jlmachine-learningneural-networksoptimization

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Graph trust82Primary
Graph score83