Complessità e Disordine - Dal Premio Nobel al Machine Learning
Esplorazione del legame tra la teoria dei sistemi disordinati di Parisi e le sfide del Machine Learning, evidenziando come la complessità influenzi l'ottimizzazione dei sistemi.
Introduction to the Dynamics of Disordered Systems: Equilibrium and Gradient Descent - Lecture 1
Explore disordered systems dynamics, covering glasses, jamming transitions, and optimization problems. Gain insights into metastable states and algorithmic applications in various fields.
Random Matrix Theory and Its Applications - Lecture 3
Explore advanced random matrix theory concepts, including complex quaternionic matrices, rotationally invariant ensembles, and applications to disordered systems in this in-depth lecture.
Disordered Systems and Related Spectra - Rothschild Lecture
Explore disordered systems and spectral theory, focusing on Schrodinger operators with random potential and large random matrices.
A Journey from Statistical Mechanics to Number Theory
Explore connections between statistical mechanics and number theory, focusing on the Riemann zeta function and its relation to phase transitions in disordered systems.
Spin Glasses and Related Systems - Lecture 1
Comprehensive introduction to spin glasses, covering experimental results, frustration, models, and analysis methods. Explores complex magnetic systems and their unique properties.
Relaxation of Imbalance in a Disordered XX Model with On-site Dephasing
Explore relaxation dynamics in disordered quantum systems with on-site dephasing, focusing on imbalance in the XX model and its implications for many-body localization and quantum stability.
Classification of Disordered Insulators in One Dimension
Explore mathematical aspects of disordered topological insulators, focusing on 1D classification and the application of algebraic topology to quantum mechanical Hamiltonians.
Classification of Disordered Insulators in One Dimension
Explore mathematical aspects of disordered topological insulators, focusing on 1D classification and the application of algebraic topology to quantum mechanical Hamiltonians.
Introduction to the Dynamics of Disordered Systems - Equilibrium and Gradient Descent - Part 3
Explore equilibrium dynamics and gradient descent in disordered systems, focusing on theoretical concepts and practical applications in statistical physics and optimization.
Introduction to the Dynamics of Disordered Systems - Part II
Explore advanced concepts in disordered system dynamics, focusing on theoretical frameworks and analytical techniques for understanding complex physical phenomena.
Scaling Limits of Disordered Systems
Explore scaling limits of disordered systems, focusing on the Poland-Scheraga model for DNA denaturation and its phase transition effects.
Waves, Disorder and Interactions: A Physicist's Perspective
Explore Anderson localization and its implications for interacting quantum particles in random potentials. Gain insights into wave equations, quantum phenomena, and challenges in physics research.
The Fate of Parisi-Sourlas Supersymmetry in Random Field Ising Model
Explore the intricacies of Parisi-Sourlas Supersymmetry in the context of Random Field Ising model, delving into advanced theoretical physics concepts and their implications.
Rejuvenation and Memory: Amazing Effects in Spin Glass Dynamics
Explore spin glass dynamics, rejuvenation, and memory effects through large-scale numerical simulations, uncovering multiple growing length scales in disordered magnets.
Thermalization and Many-Body Localization II - Lecture 4
Explore advanced concepts in thermalization and many-body localization with David Huse, delving into cutting-edge physics research and theoretical frameworks.
Thermalization and Many-Body Localization - Part I
Explore thermalization and many-body localization with David Huse in this advanced physics lecture, delving into fundamental concepts and recent developments.
Mesoscopic Physics of Photons - Class 1
Explore mesoscopic physics of photons in this comprehensive lecture, covering fundamental concepts and applications in light and cold atom interactions.
Mean-Field Disordered Systems and Hamilton-Jacobi Equation
Explore mean-field disordered systems and their connection to Hamilton-Jacobi equations in this advanced physics workshop by J.C Mourrat.
Statistical Physics of Stochastic Gradient Descent
Explore statistical physics principles applied to stochastic gradient descent, uncovering insights into machine learning optimization techniques.
Triviality of the Ising SK TAP Energy up to the AT Line
Explore the triviality of Ising SK TAP energy up to the AT line in spin glasses with F. Concetti from University of Basel.