Random constraint satisfaction problems (CSP) have been studied extensively using
statistical physics techniques. They provide a benchmark to study average case scenarios …

Several theories of the glass transition propose that the structural relaxation time τ α is
controlled by a growing static length scale ξ that is determined by the free energy landscape …

Perceptrons are the building blocks of many theoretical approaches to a wide range of
complex systems, ranging from neural networks and deep learning machines, to constraint …

swap algorithms can shift the glass transition to lower temperatures, a recent unexplained
observation constraining the nature of this phenomenon. Here we show that swap dynamics …

Liquids equilibrated below an onset condition share similar inherent states, while those
above that onset have inherent states that markedly differ. Although this type of materials …

Improved mean-field techniques are a central theme of statistical physics methods applied to
inference and learning. We revisit here some of these methods using high-temperature …

The unconventional thermal properties of jammed amorphous solids are directly related to
their density of vibrational states. While the vibrational spectrum of jammed soft sphere …

Structural glasses form through various out-of-equilibrium processes, including temperature
quenches, rapid compression (crunches), and shear. Although each of these processes …

Which phenomenon slows down the dynamics in supercooled liquids and turns them into
glasses is a long-standing question of condensed matter. Most popular theories posit that as …

We review the main methods used to study spin glasses. In the first part, we focus on
methods for fully connected models and systems defined on a tree, such as the replica …