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20172021
most citedMemory-free dynamics for the TAP equations of Ising models with arbitrary rotation invariant ensembles of random coupling matrices

23 citations · 28 across the 2 of their papers we have counts for

collaborators

5 papers

cond-mat.dis-nn20215 cited

Exact solution to the random sequential dynamics of a message passing algorithm

Burak Çakmak, Manfred Opper

We analyze the random sequential dynamics of a message passing algorithm for Ising models with random interactions in the large system limit. We derive exact results for the two-ti…

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…

cond-mat.dis-nn201923 cited

Memory-free dynamics for the TAP equations of Ising models with arbitrary rotation invariant ensembles of random coupling matrices

Burak Çakmak, Manfred Opper

We propose an iterative algorithm for solving the Thouless-Anderson-Palmer (TAP) equations of Ising models with arbitrary rotation invariant (random) coupling matrices. In the ther…

cs.IT2017

Dynamical Functional Theory for Compressed Sensing

Burak Çakmak, Manfred Opper, Ole Winther +1

We introduce a theoretical approach for designing generalizations of the approximate message passing (AMP) algorithm for compressed sensing which are valid for large observation ma…