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Scaling description of generalization with number of parameters in deep learning http://j.mp/2tuwJGs
#JStatMech -
Two-point connectivity of two-dimensional critical Q -Potts random clusters on the torus http://j.mp/2RWEsGP
#JStatMech -
Dynamical correlations and a quantum glass phase in a random hopping Bose–Hubbard model http://j.mp/2Sm0YYq
#JStatMech -
Erratum: Re-examining Einstein’s B coefficient and rate equations with the Rabi model (2019 J. Stat. Mech . 113104 [http://j.mp/2GT3u39 ] ) http://j.mp/31rze9i
#JStatMech -
Records for the moving average of a time series http://j.mp/3b9UYKX
#JStatMech -
Theory on the looping mediated directional-dependent propulsion of transcription factors along DNA http://j.mp/2Ua2z6v
#JStatMech -
An elementary renormalization-group approach to the generalized central limit theorem and extreme value distributions http://j.mp/2RXs5sL
#JStatMech -
Dynamics of longitudinal magnetization in transverse-field quantum Ising model: from symmetry-breaking gap to Kibble–Zurek mechanism http://j.mp/3aMHCnR
#JStatMech -
The spectral dimension of simplicial complexes: a renormalization group theory http://j.mp/37oOwxH
#JStatMech -
Really proud of being editor of the special issue of
#JStatMech on the theory Machine learning with long version of papers from 2018#NeurIPS,#ICML &#ICLR. They are some real gems in there! https://iopscience.iop.org/journal/1742-5468/page/extraspecial16 … -
A pretty amazing lineup of papers related to statistical physics & machine learning from 2018
#NeurIPS,#ICML &#ICLR in now collected in#JStatMech. See https://iopscience.iop.org/journal/1742-5468/page/extraspecial16 … and enjoy :)!
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