Ramanujan Auditorium

Machine learning for lattice field theory and back

Gert Aarts

ECT* Trento and Swansea University

Recently, machine learning has become a popular tool to use in fundamental science, including lattice field theory. Here I will report on recent progress, starting with (by now) basic applications (phase transitions and critical exponents), moving on to new
ideas for the Inverse Renormalisation Group and ending with more speculative suggestions on quantum-field theoretical machine learning.