Video URL
http://pirsa.org/23030101Machine learning for lattice field theory and back
APA
Aarts, G. (2023). Machine learning for lattice field theory and back. Perimeter Institute for Theoretical Physics. http://pirsa.org/23030101
MLA
Aarts, Gert. Machine learning for lattice field theory and back. Perimeter Institute for Theoretical Physics, Mar. 10, 2023, http://pirsa.org/23030101
BibTex
@misc{ scivideos_PIRSA:23030101, doi = {}, url = {http://pirsa.org/23030101}, author = {Aarts, Gert}, keywords = {Other Physics}, language = {en}, title = {Machine learning for lattice field theory and back}, publisher = {Perimeter Institute for Theoretical Physics}, year = {2023}, month = {mar}, note = {PIRSA:23030101 see, \url{https://scivideos.org/index.php/PIRSA/23030101}} }
Gert Aarts Swansea University
Abstract
Recently, machine learning has become a popular tool to use in fundamental science, including lattice field theory. Here I will report on some recent progress, including the Inverse Renormalisation Group and quantum-field theoretical machine learning, combining insights of lattice field theory and machine learning in a hopefully constructive manner.
Zoom link: https://pitp.zoom.us/j/95456375462?pwd=WmtZMloyclAyZzBwVEZHQ3gxVnkrUT09