Calculating Expectation Values in Spinfoams using Machine Learning
Series:
Training Programs (TEOSP)
Event Type:
Seminar
Scientific Area(s):
Other
Speaker(s):
- Athanasios Kogios, Perimeter Institute for Theoretical Physics
Event Link:
https://events.perimeterinstitute.ca/e/895
Following recent advances in using machine learning algorithms for speeding up computations, we employ the newly proposed Generative Flow Networks as an alternative to traditional Markov Chain Monte Carlo methods for the calculation of expectation values of observables in the spinfoam framework.