AI RESEARCH
Is Class Signal Clustered or Routed in Task-Induced Implicit Neural Representation Weight Spaces?
arXiv CS.CV
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ArXi:2605.08281v1 Announce Type: new Implicit neural representations (INRs) encode images as neural-network weights, making image classification a problem of weight-space classifiability. A natural geometric hypothesis is that classifier feedback should make image-specific weights cluster by class in the shared-anchor coordinate. We test this hypothesis in the SIREN-based Meta Weight Transformer (MWT) regime, where end-to-end