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Some Remarks on Replicated Simulated Annealing

V. G. M. Löwe and F. Vermet, "Some Remarks on Replicated Simulated Annealing," in Journal of Statistical Physics, Volume 182, Number 3, pp. 1--22, 2021.

Recently authors have introduced the idea of training discrete weights neural networks using a mix between classical simulated annealing and a replica ansatz known from the statistical physics literature. Among other points, they claim their method is able to find robust configurations. In this paper, we analyze this so called “replicated simulated annealing” algorithm. In particular, we give criteria to guarantee its convergence, and study when it successfully samples from configurations. We also perform experiments using synthetic and real data bases.

Download manuscript.

  author = {Vicent Gripon, Matthias Löwe and Franck
  title = {Some Remarks on Replicated Simulated
  journal = {Journal of Statistical Physics},
  year = {2021},
  volume = {182},
  number = {3},
  pages = {1--22},

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