45 citations · 97 across the 8 of their papers we have counts for
3 papers · 1 filter
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning
Stefan Bluecher, Lukas Kades, Jan M. Pawlowski +2
Machine learning has the potential to aid our understanding of phase structures in lattice quantum field theories through the statistical analysis of Monte Carlo samples. Available…
Reweighting Lefschetz Thimbles
Stefan Bluecher, Jan M. Pawlowski, Manuel Scherzer +4
We present a novel reweighting technique to calculate the relative weights in the Lefschetz thimble decomposition of a path integral. Our method is put to work using a one-l…
Reweighting Lefschetz Thimbles
Stefan Bluecher, Jan M. Pawlowski, Manuel Scherzer +4
One of the main challenges in simulations on Lefschetz thimbles is the computation of the relative weights of contributing thimbles. In this paper we propose a solution to that pro…