Welcome to KITP Machine19
Welcome to the wiki page for the KITP program Machine Learning for Quantum Many-Body Physics, coordinated by Roger Melko, Amnon Shashua, Miles Stoudenmire, and Matthias Troyer.
This space is for you, the program participants. Contact Roger or Miles with your GitHub userid to get access to make changes to the page. You can use the editor on GitHub to maintain and preview the content for this website in Markdown files.
A slack workspace has been created at machine19.slack.com. If you haven’t recieved your invitation contact Roger.
Weekly Schedule Format
Every week, we will have one organizational meeting, three scheduled talks, and one imprompto (and un-recorded) Friday discussion. All events take place in the KITP auditorium.
- Monday, 1:30pm: Organizational meet & greet
- Tuesday, 1:30pm: Seminar
- Wednesday, 10:00am: Chalkboard Tutorial (introductory level machine learning for physicists)
- Thursday, 1:30pm: Seminar
- Friday, 3:30pm: Machine19 Unplugged, un-recorded discussion. Topics to be determined by you, the participants, each week.
Following the Friday discussion there will be a social event at the Munger residence. Details will be announced weekly.
Wednesday BlogSpot
- Michael Albergo: Overview of Recent Generative Models
- Dries Sels: Tutorial: Reinforcement Learning for Physicists
- Estelle Inack: Tutorial: VMC and Machine learning
Useful links
Upcoming Events
- Week 7
- Tues Mar 12 (1:30pm) Phiala Shanahan, Learning matched action parameters for multi-scale algorithms in lattice QCD
- Wed Mar 13 (10:00am) Tutorial: Andrea Rocchetto, Tutorial: Overview of classical and quantum learning theory
- Thu Mar 14 (1:30pm) Seminar: Simon Trebst, Decoding the many-fermion problem with neural networks