awesome-weight-space-learning
github.com/ege-erdogan/awesome-weight-space-learning ↗Awesome papers on weight-space learning
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Curated Resources
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PapersPhD/MSc ThesesBlogs, Talks, etc.
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me datasets resources from awesome-weight-space-learning"
Installation instructions →What's inside
Papers
- Classifying the classifier: dissecting the weight space of neural networksDatasets
- Deep Linear Probe Generators for Weight Space LearningOther
- Diffusion-Based Neural Network Weights GenerationWeight-Space Generative Models
- Equivariant Architectures for Learning in Deep Weight SpacesArchitectures / Training
- Equivariant Deep Weight Space AlignmentOther
- Flow to Learn: Flow Matching on Neural Network ParametersWeight-Space Generative Models
PhD/MSc Theses
Blogs, Talks, etc.
Showing a sample of 32 resources. View the full list on GitHub →