framework
pending-review
framework:physical-learningPhysical learning
stern-2022-learning.mdFrontmatter (10 fields)
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"context": "Framework for solving inverse problems in which physical systems autonomously adapt their parameters in response to stimuli through local learning rules, without requiring computational design or explicit cost functions",
"category": "systems",
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}Outgoing (2)
Implements (2)
- Inverse Problem(concept)
- Local learning rule(method)
Incoming (7)
Associated with (5)
- Contrastive learning(framework)
- Elastic networks(concept)
- Flow networks(concept)
- Neuromorphic computing(framework)
- Origami and Kirigami sheets(concept)
introduces (1)
Mentions (1)
- papers-typed
stern-2022-learning.md