This workshop will bring together experts in the growing field of machine learning in particle physics, with a focus on theory applications. This direction within the broad field of machine learning has the potential to conceptually change the kinds of fundamental questions we will tackle in the coming years.
A wide range of theory applications forces us to adapt established approaches and tools from big-data research to field-specific fundamental physics questions. Major research directions include first-principle simulations, the treatment of high-dimensional model spaces, and extracting the mathematical structure of our fundamental theory.
The workshop will last 4 weeks, with a different focus on each week:
Week 1 - Applications of ML to string theory and mathematics.
Week 2 - Simulating Quantum Fields.
Week 3 - Cosmology and Particle phenomenology.
Week 4 - Phenomenological and experimental aspects.
