Bayesian RG flow in neural network field theories
The Neural Network Field Theory correspondence (NNFT) is a mapping from neural network (NN) architectures into the space of statistical field theories (SFTs). The Bayesian renormalization group (BRG) is an information-theoretic coarse graining scheme that generalizes the principles of the exact reno...
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| Main Author: | Jessica N. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SciPost
2025-03-01
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| Series: | SciPost Physics Core |
| Online Access: | https://scipost.org/SciPostPhysCore.8.1.027 |
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