Conveners
Tutorial courses: Disordered systems out of equilibrium
- Leticia F. Cugliandolo (Sorbonne Université, Paris)
Tutorial courses: Threeway out of equilibrium many body dynamics
- Frédéric van Wijland ()
Tutorial courses: A statistical physics perspective on the theory of machine learning
- Bruno Loureiro (ENS Paris)
Tutorial courses: Threeway out of equilibrium many body dynamics
- Frédéric van Wijland ()
Tutorial courses: A statistical physics perspective on the theory of machine learning
- There are no conveners in this block
Tutorial courses: Disordered systems out of equilibrium
- Leticia F. Cugliandolo (Sorbonne Université, Paris)
Tutorial courses: A statistical physics perspective on the theory of machine learning
- Bruno Loureiro (ENS Paris)
Tutorial courses: Threeway out of equilibrium many body dynamics
- Frédéric van Wijland ()
Tutorial courses: Disordered systems out of equilibrium
- Leticia F. Cugliandolo (Sorbonne Université, Paris)
- Introduction. Quenched and configurational disorder. Coarsening. Glassiness and active matter. Models and methods.
- Equilibrium analysis. Free-energy landscapes (extensions of Ginzburg-Landau).
- Out of equilibrium dynamics. Dynamic mean-field theory.
These three lectures will focus on three manners to fall out of equilibrium, and on the many-body effects that arise from the nonequilibrium nature of the dynamics. We will begin with systems harboring a macroscopic current (leading to long range correlations). Then we shall stop by systems that should be relaxing towards equilibrium, but that fail to do so for reasons that are still under...
The past decade has witnessed a surge in the development and adoption of machine learning algorithms to solve day-a-day computational tasks. Yet, a solid theoretical understanding of even the most basic tools used in practice is still lacking, as traditional statistical learning methods are unfit to deal with the modern regime in which the number of model parameters are of the same order as...
