Title:
Machine Learning in Mathematics and Theoretical Physics
Location:
Oxford
Organiser:
Andrei Constantin
Start Date:
17-07-2023
End Date:
21-07-2023
Link:
Description:
Machine Learning in Mathematics & Theoretical Physics is an intensive one-week research school primarily designed for PhD students, with master students and more senior researchers very welcome to apply as well. The program will be held between 17-21 July 2023 at the University of Oxford and hosted by the Department of Physics.
Topics will include:
- A quick review of ML basics
- Knot Theory with Reinforcement Learning
- String Theory Compactifications
- Calabi-Yau Manifolds and Ricci-flat Metrics
- Genetic Algorithms, Quantum Annealing and Discrete Optimisation Problems
- Classification of Fano Varieties
- Differential Equations and Generative Models
