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cs.LG2020
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines
Burak Çakmak, Manfred Opper
We define a message-passing algorithm for computing magnetizations in Restricted Boltzmann machines, which are Ising models on bipartite graphs introduced as neural network models…
cs.LG2020
Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach
Burak Çakmak, Manfred Opper
We analyze the dynamics of an algorithm for approximate inference with large Gaussian latent variable models in a student-teacher scenario. To model nontrivial dependencies between…