35 citations · 128 across the 21 of their papers we have counts for
5 papers · 1 filter
Generative sampling with physics-informed kernels
Friederike Ihssen, Renzo Kapust, Jan M. Pawlowski
We construct a generative network for Monte-Carlo sampling in lattice field theories and beyond, for which the learning of layerwise propagation is done and optimised independently…
Physics-informed operator flows and observables
Friederike Ihssen, Jan M. Pawlowski
We discuss physics-informed renormalisation group flows (PIRGs) for general operators. We show that operator PIRGs provide a comprehensive access to all correlation functions of th…
Tunneling with physics-informed RG flows in the anharmonic oscillator
Alfio Bonanno, Friederike Ihssen, Jan M. Pawlowski
We solve the anharmonic oscillator with physics-informed renormalisation group (PIRG) flows, with an emphasis on the weak coupling regime with its instanton-dominated tunnelling pr…
Nonperturbative treatment of a quenched Langevin field theory
Friederike Ihssen, Valerio Pagni, Jamir Marino +2
We present a novel approach within the functional renormalization group framework for computing critical exponents that characterize the time evolution of out-of-equilibrium many-b…
Physics-informed gauge theories
Friederike Ihssen, Jan M. Pawlowski
We use the physics-informed renormalisation group (PIRG) for the construction of gauge invariant renormalisation group flows. The respective effective action is a sum of a gauge in…