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pro vyhledávání: '"Stapleton, Alexander G."'
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
Externí odkaz:
http://arxiv.org/abs/2405.17538
In this paper we present a novel approach to interpretable AI inspired by Quantum Field Theory (QFT) which we call the NCoder. The NCoder is a modified autoencoder neural network whose latent layer is prescribed to be a subset of $n$-point correlatio
Externí odkaz:
http://arxiv.org/abs/2402.00944
In this note we present a fully information theoretic approach to renormalization inspired by Bayesian statistical inference, which we refer to as Bayesian Renormalization. The main insight of Bayesian Renormalization is that the Fisher metric define
Externí odkaz:
http://arxiv.org/abs/2305.10491