activity
20092023
most citedGrowing timescales and lengthscales characterizing vibrations of amorphous solids

128 citations · 1.5k across the 42 of their papers we have counts for

collaborators

43 papers

cond-mat.dis-nn2023★ 6 cited

The Copycat Perceptron: Smashing Barriers Through Collective Learning

Giovanni Catania, Aurélien Decelle, Beatriz Seoane

We characterize the equilibrium properties of a model of coupled binary perceptrons in the teacher-student scenario, subject to a suitable cost function, with an explicit ferro…

cs.LG2023

Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics

Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset +1

In this study, we address the challenge of using energy-based models to produce high-quality, label-specific data in complex structured datasets, such as population genetics, RNA o…

cond-mat.dis-nn2023★ 4 cited

Quantifying memory in spin glasses

Janus Collaboration, I. Paga, J. He +24

Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, e…

cond-mat.dis-nn2023★ 5 cited

Multifractality in spin glasses

Janus Collaboration, M. Baity-Jesi, E. Calore +21

We unveil the multifractal behavior of Ising spin glasses in their low-temperature phase. Using the Janus II custom-built supercomputer, the spin-glass correlation function is stud…

cs.LG2023★ 24 cited

Unsupervised hierarchical clustering using the learning dynamics of RBMs

Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane

Datasets in the real world are often complex and to some degree hierarchical, with groups and sub-groups of data sharing common characteristics at different levels of abstraction.…

cs.LG2023★ 1 cited

Explaining the effects of non-convergent sampling in the training of Energy-Based Models

Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle +1

In this paper, we quantify the impact of using non-convergent Markov chains to train Energy-Based models (EBMs). In particular, we show analytically that EBMs trained with non-pers…

cond-mat.dis-nn2022

Thermodynamics of bidirectional associative memories

Adriano Barra, Giovanni Catania, Aurélien Decelle +1

In this paper we investigate the equilibrium properties of bidirectional associative memories (BAMs). Introduced by Kosko in 1988 as a generalization of the Hopfield model to a bip…

cond-mat.dis-nn2022★ 32 cited

Memory and rejuvenation in spin glasses: aging systems are ruled by more than one length scale

Janus Collaboration, M. Baity-Jesi, E. Calore +22

Memory and rejuvenation effects in the magnetic response of off-equilibrium spin glasses have been widely regarded as the doorway into the experimental exploration of ultrametricit…

cond-mat.dis-nn2022★ 6 cited

On the superposition principle and non-linear response in spin glasses

I. Paga, Q. Zhai, M. Baity-Jesi +25

The extended principle of superposition has been a touchstone of spin glass dynamics for almost thirty years. The Uppsala group has demonstrated its validity for the metallic spin…

cs.LG2022★ 20 cited

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling

Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +1

Restricted Boltzmann Machines are simple and powerful generative models that can encode any complex dataset. Despite all their advantages, in practice the trainings are often unsta…

cond-mat.soft2022★ 13 cited

Soft disorder modulates the assembly path of protein complexes

Beatriz Seoane, Alessandra Carbone

The relationship between interactions, flexibility and disorder in proteins has been explored from many angles: folding upon binding, flexibility of the core relative to the periph…

cs.LG2021★ 37 cited

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines

Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

Training Restricted Boltzmann Machines (RBMs) has been challenging for a long time due to the difficulty of computing precisely the log-likelihood gradient. Over the past decades,…

cond-mat.dis-nn2020★ 25 cited

The complexity of protein interactions unravelled from structural disorder

Beatriz Seoane, Alessandra Carbone

The idea that structural disorder might be a novel mechanism of protein interaction is widespread in the Literature, although the number of statistically significant structural stu…

cond-mat.dis-nn2020★ 31 cited

Temperature chaos is present in off-equilibrium spin-glass dynamics

Janus Collaboration, M. Baity-Jesi, E. Calore +22

We find a dynamic effect in the non-equilibrium dynamics of a spin glass that closely parallels equilibrium temperature chaos. This effect, that we name dynamic temperature chaos,…

cond-mat.stat-mech2020★ 26 cited

Scaling law describes the spin-glass response in theory, experiments and simulations

Q. Zhai, I. Paga, M. Baity-Jesi +24

The correlation length , a key quantity in glassy dynamics, can now be precisely measured for spin glasses both in experiments and in simulations. However, known analysis method…

q-bio.PE2020★ 9 cited

A scaling approach to estimate the COVID-19 infection fatality ratio from incomplete data

Beatriz Seoane

SARS-CoV-2 has disrupted the life of billions of people around the world since the first outbreak was officially declared in China at the beginning of 2020. Yet, important question…

cond-mat.dis-nn2019★ 21 cited

Learning a Local Symmetry with Neural-Networks

Aurélien Decelle, Victor Martin-Mayor, Beatriz Seoane

We explore the capacity of neural networks to detect a symmetry with complex local and non-local patterns : the gauge symmetry Z 2 . This symmetry is present in physical problems f…

cond-mat.dis-nn2018★ 121 cited

The Mpemba effect in spin glasses is a persistent memory effect

Janus collaboration, M. Baity-Jesi, E. Calore +21

The Mpemba effect occurs when a hot system cools faster than an initially colder one, when both are refrigerated in the same thermal reservoir. Using the custom built supercomputer…

cond-mat.soft2018★ 45 cited

Spin-glass--like aging in colloidal and granular glasses

Beatriz Seoane, Francesco Zamponi

Motivated by the mean field prediction of a Gardner phase transition between a "normal glass" and a "marginally stable glass", we investigate the off-equilibrium dynamics of three-…

cond-mat.dis-nn2018★ 49 cited

Aging rate of spin glasses from simulations matches experiments

Janus Collaboration, M. Baity-Jesi, E. Calore +20

Experiments on spin glasses can now make precise measurements of the exponent governing the growth of glassy domains, while our computational capabilities allow us to make q…

cond-mat.soft2017★ 32 cited

Low-temperature anomalies of a vapor deposited glass

Beatriz Seoane, Daniel R. Reid, Juan J. de Pablo +1

We investigate the low temperature properties of two-dimensional Lennard-Jones glass films, prepared in silico both by liquid cooling and by physical vapor deposition. We identify…

cond-mat.dis-nn2017★ 44 cited

Matching microscopic and macroscopic responses in glasses

Janus Collaboration, M. Baity-Jesi, E. Calore +20

We first reproduce on the Janus and Janus II computers a milestone experiment that measures the spin-glass coherence length through the lowering of free-energy barriers induced by…

cond-mat.mtrl-sci2017★ 8 cited

An Ising Model for Metal-Organic Frameworks

Nicolas Höft, Jürgen Horbach, Victor Martin-Mayor +1

We present a three-dimensional Ising model where lines of equal spins are frozen in such that they form an ordered framework structure. The frame spins impose an external field on…

cond-mat.dis-nn2016★ 35 cited

A statics-dynamics equivalence through the fluctuation-dissipation ratio provides a window into the spin-glass phase from nonequilibrium measurements

Janus Collaboration, M. Baity-Jesi, E. Calore +20

The unifying feature of glass formers (such as polymers, supercooled liquids, colloids, granulars, spin glasses, superconductors, ...) is a sluggish dynamics at low temperatures. I…