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author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2022-11-07 14:25:43 +0100 |
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committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2022-11-07 14:25:43 +0100 |
commit | c6047dfa82985825792359f566fe4e7f6052974d (patch) | |
tree | 36968f34f6e5ae5e46ed0621250331acbe2e5dab /appeal.tex | |
parent | 52a917fae5b90634e5a016ff84f18dcbe8369ade (diff) | |
parent | 6c0cd5488bc630a0fcf6a14629fd5f91f2706483 (diff) | |
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diff --git a/appeal.tex b/appeal.tex new file mode 100644 index 0000000..7ae78f4 --- /dev/null +++ b/appeal.tex @@ -0,0 +1,70 @@ +\documentclass[a4paper]{letter} + +\usepackage[utf8]{inputenc} % why not type "Bézout" with unicode? +\usepackage[T1]{fontenc} % vector fonts plz +\usepackage{newtxtext,newtxmath} % Times for PR +\usepackage[ + colorlinks=true, + urlcolor=purple, + linkcolor=black, + citecolor=black, + filecolor=black +]{hyperref} % ref and cite links with pretty colors +\usepackage{xcolor} +\usepackage[style=phys]{biblatex} + +\addbibresource{bezout.bib} + +\signature{ + \vspace{-6\medskipamount} + \smallskip + Jaron Kent-Dobias \& Jorge Kurchan +} + +\address{ + Laboratoire de Physique\\ + Ecole Normale Sup\'erieure\\ + 24 rue Lhomond\\ + 75005 Paris +} + +\begin{document} +\begin{letter}{ + Editorial Office\\ + Physical Review Letters\\ + 1 Research Road\\ + Ridge, NY 11961 +} + +\opening{To the editors of Physical Review,} + +We wish to appeal the decision on our manuscript \emph{How to count in +hierarchical landscapes: A ‘full’ solution to mean-field complexity}, which was +rejected without being sent to referees. + +The problem of characterizing the geometry of complex energy and cost +landscapes is long-standing. Until this work, the correct calculation of the +complexity has only been made for a small minority of systems, those with +so-called replica symmetry. We show explicitly how such calculations can be +made for the vast majority of cases. + +Landscape complexity even for the simple models we consider is relevant to a +broad spectrum of physics disciplines. These models appear explicitly in modern +research of machine learning, like tensor denoising, and understanding how +complexity, dynamics, and equilibrium interplay in them provides powerful analogies +and insights into emergent phenomena in more complicated contexts, from +realistic machine learning models to the behavior of structural glasses. +Already in this work, we identify the surprising result that the purported +algorithmic threshold for optimization on mean-field cost functions lies +\emph{far above} the geometric threshold traditionally understood as the dynamic limit. + +We urge you to allow this paper to go to referees and allow it to +be judged by other scientists at the forefront of these fields. + +\closing{Sincerely,} + +\vspace{1em} + +\end{letter} + +\end{document} |