3 papers
hep-lat2026
Machine learning in phase transition analysis of lattice quantum gravity
Jan Ambjorn, Zbigniew Drogosz, Jakub Gizbert-Studnicki +3
Using numerical data coming from Monte Carlo simulations of four-dimensional Causal Dynamical Triangulations, we study how automated machine learning algorithms can be used to reco…
eess.SY2025
Hybrid ILM-NILM Smart Plug System
Dániel István Németh, Kálmán Tornai
Electrical load classification is generally divided into intrusive and non-intrusive approaches, both having their limitations and advantages. With the non-intrusive approach, cont…
hep-lat2024
Is Lattice Quantum Gravity Asymptotically Safe? Making contact between Causal Dynamical Triangulations and the Functional Renormalization Group
Jan Ambjørn, Jakub Gizbert-Studnicki, Andrzej GÅrlich +1
We compare the effective action of the scale factor obtained from lattice quantum gravity (in the form of Causal Dynamical Triangulations (CDT)) to the corresponding effective acti…