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We address the inverse problem of reconstructing both the structure and dynamics of a network from mean-field measurements, which are linear combinations of node states. This setting arises in applications where only a few aggregated…

Dynamical Systems · Mathematics 2025-11-04 Narcicegi Kiran , Tiago Pereira

We study the saddle-points of the $p$-spin model -- the best understood example of a `complex' (rugged) landscape -- when its $N$ variables are complex. These points are the solutions to a system of $N$ random equations of degree $p-1$. We…

Statistical Mechanics · Physics 2021-04-28 Jaron Kent-Dobias , Jorge Kurchan

This paper develops several average-case reduction techniques to show new hardness results for three central high-dimensional statistics problems, implying a statistical-computational gap induced by robustness, a detection-recovery gap and…

Computational Complexity · Computer Science 2020-05-20 Matthew Brennan , Guy Bresler

Fossil amber offers the unique opportunity of investigating an amorphous material which has been exploring its energy landscape for more than 110 Myears of natural aging. By applying different x-ray scattering methods to amber before and…

Disordered Systems and Neural Networks · Physics 2019-01-30 E. A. A. Pogna , A. I. Chumakov , C. Ferrante , M. A. Ramos , T. Scopigno

The spatial structure of fluctuations in spatially inhomogeneous processes can be modeled in terms of Gibbs random fields. A local low energy estimator (LLEE) is proposed for the interpolation (prediction) of such processes at points where…

Data Analysis, Statistics and Probability · Physics 2012-04-12 D. T. Hristopulos

We construct a mean-field elastoplastic description of the dynamics of amorphous solids under arbitrary time-dependent perturbations, building on the work of Lin and Wyart [Phys. Rev. X 6, 011005 (2016)] for steady shear. Local stresses are…

Soft Condensed Matter · Physics 2020-12-14 Jack T. Parley , Suzanne M. Fielding , Peter Sollich

In this paper we investigate the eigenvalue statistics of exponentially weighted ensembles of full binary trees and $p$-branching star graphs. We show that spectral densities of corresponding adjacency matrices demonstrate peculiar…

Statistical Mechanics · Physics 2017-08-02 V. Kovaleva , Yu. Maximov , S. Nechaev , O. Valba

We present an analytic model specifically designed to address the long standing issue of small scale structure on cosmic string networks. The model is derived from the microscopic string equations, together with a few motivated assumptions.…

General Relativity and Quantum Cosmology · Physics 2008-12-23 Jorge V. Rocha

One of the goals of the landscape program in string theory is to extract information about the space of string vacua in the form of statistical correlations between phenomenological features that are otherwise uncorrelated in field theory.…

High Energy Physics - Theory · Physics 2008-11-26 Keith R. Dienes , Michael Lennek , David Sénéchal , Vaibhav Wasnik

In this publication we introduce SAMPLE, a structure search approach for commensurate organic monolayers on inorganic substrates. Such monolayers often show rich polymorphism with diverse molecular arrangements in differently shaped unit…

Materials Science · Physics 2020-09-29 Lukas Hörmann , Andreas Jeindl , Alexander T. Egger , Michael Scherbela , Oliver T. Hofmann

A numerical study is made of the spectra of a tight-binding hamiltonian on square approximants of the quasiperiodic octagonal tiling. Tilings may be pure or random, with different degrees of phason disorder considered. The level statistics…

Condensed Matter · Physics 2009-10-22 Frederic Piechon , Anuradha Jagannathan

In hep-th/0501082, a field theoretic ``toy model'' for the Landscape was proposed. We show that the considerations of that paper carry through to realistic effective Lagrangians, such as those that emerge out of string theory. Extracting…

High Energy Physics - Theory · Physics 2007-05-23 Jacques Distler , Uday Varadarajan

We present a statistical method for complex energy landscape exploration which provides information on the metastable states--or valleys--actually explored by an unperturbed aging process following a quench. Energy fluctuations of record…

Statistical Mechanics · Physics 2009-11-10 Jesper Dall , Paolo Sibani

In this note we generalize the main result in [DIV: R. Di Gennaro, G. Ilardi, J. Valles, Singular hypersurfaces characterizing the Lefschetz properties J. Lond. Math. Soc. (2) 89 (2014), no. 1, 194-212] on artinian ideals failing Lefschetz…

Algebraic Geometry · Mathematics 2017-10-17 Roberta Di Gennaro , Giovanna Ilardi

Local search is widely used to solve combinatorial optimisation problems and to model biological evolution, but the performance of local search algorithms on different kinds of fitness landscapes is poorly understood. Here we consider how…

Data Structures and Algorithms · Computer Science 2020-11-13 Artem Kaznatcheev , David A. Cohen , Peter G. Jeavons

Model-based reinforcement learning (MBRL) is sample-efficient but struggles in sparse reward settings. A critical bottleneck arises from the lack of informative gradients in sparse settings, where standard reward models often yield flat…

Machine Learning · Computer Science 2026-05-11 Yao-Hui Li , Zeyu Wang , Xin Li , Wei Pang , Yingfang Yuan , Zhengkun Chen , Boya Zhang , Riashat Islam , Alex Lamb , Yonggang Zhang

We consider an elastic manifold of internal dimension $d$ and length $L$ pinned in a $N$ dimensional random potential and confined by an additional parabolic potential of curvature $\mu$. We are interested in the mean spectral density…

Disordered Systems and Neural Networks · Physics 2020-04-22 Yan V. Fyodorov , Pierre Le Doussal

Recent developments in fitness landscape analysis include the study of Local Optima Networks (LON) and applications of the Elementary Landscapes theory. This paper represents a first step at combining these two tools to explore their…

Artificial Intelligence · Computer Science 2012-10-16 Francisco Chicano , Fabio Daolio , Gabriela Ochoa , Sébastien Verel , Marco Tomassini , Enrique Alba

Free-energy landscape theory is often used to describe complex molecular systems. Here, a microscopic description of water structure and dynamics based on configuration-space-networks and molecular dynamics simulations of the TIP4P/2005…

Statistical Mechanics · Physics 2015-06-05 Diego Prada-Gracia , Roman Shevchuk , Peter Hamm , Francesco Rao

At the classical level we study open bosonic strings. A generic description of string self-interactions localized at string ends is given. Self-interactions are characterized by two dimensionless coupling constants. The model is rewritten…

High Energy Physics - Theory · Physics 2015-06-26 Pawel Wegrzyn