3 papers
hep-lat2026
Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality
A. Singha, J. Kauffmann, E. Cellini +2
Sampling lattice field theories near criticality is severely hindered by critical slowing down, which makes standard Markov chain methods increasingly inefficient at large lattice…
cs.LG2025
Multilevel Generative Samplers for Investigating Critical Phenomena
Ankur Singha, Elia Cellini, Kim A. Nicoli +3
Investigating critical phenomena or phase transitions is of high interest in physics and chemistry, for which Monte Carlo (MC) simulations, a crucial tool for numerically analyzing…
physics.comp-ph2025
Improvement of Heatbath Algorithm in LFT using Generative models
Ali Faraz, Ankur Singha, Dipankar Chakrabarti +2
The Heatbath Algorithm is commonly used for sampling in local lattice field theories, but performing exact updates or sampling from the local density is challenging when dealing wi…