Talks Schedule

No talks scheduled.

Auditorium 10:00AM The Rough High-Dimensional Landscape Problem
• Jorge Kurchan (ENS Paris) Six lessons we learned from glass dynamics
Auditorium 01:30PM Machine Learning for Quantum Many-Body Physics
• Federico Becca (University of Trieste) Variational wave functions for frustrated spin models: from traditional methods to neural networks... and back
Broida 1640 03:45PM Physics Colloquium
Note: Offsite
• John Doyle (Harvard) Cold and ultracold molecules for quantum information and particle physics

Auditorium 10:00AM Machine Learning for Quantum Many-Body Physics
• Masoud Mohseni (Google AI) Approximate optimization and inference with tensor networks
Auditorium 01:30PM The Rough High-Dimensional Landscape Problem
• Valentina Ros (ENS Paris) Computing the complexity: Kac-Rice and replicas, a comparison
Small Seminar Room 03:00PM Special Seminar
• Eun-Gook Moon (KAIST) Exotic thermal transitions associated with Z2 gauge theory
Main Seminar Room 04:00PM KITP Colloquium
• Kenta Hotokezaka (Princeton) Multi-messenger astrophysics of compact binary mergers

Auditorium 10:00AM The Rough High-Dimensional Landscape Problem
• Antonio Auffinger (Northwestern University) Energy landscapes of mean field spin glass models.
Auditorium 01:30PM Machine Learning for Quantum Many-Body Physics
• Estelle Inack (Perimeter) Tutorial: Variational Monte Carlo and Machine Learning

No talks scheduled.

No talks scheduled.

Main Seminar Room 04:00PM KITP Colloquium
• Physics Colloquium

No talks scheduled.