Search Results for author: Michele Caselle

Found 3 papers, 1 papers with code

Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

1 code implementation3 Jul 2023 Michele Caselle, Elia Cellini, Alessandro Nada

Effective String Theory (EST) represents a powerful non-perturbative approach to describe confinement in Yang-Mills theory that models the confining flux tube as a thin vibrating string.

The effect of a linear feedback mechanism in a homeostasis model

no code implementations6 Mar 2023 Antonio Francesco Zirattu, Marta Biondo, Matteo Osella, Michele Caselle

Feedback loops are essential for regulating cell proliferation and maintaining the delicate balance between cell division and cell death.

Stochastic normalizing flows as non-equilibrium transformations

no code implementations21 Jan 2022 Michele Caselle, Elia Cellini, Alessandro Nada, Marco Panero

Normalizing flows are a class of deep generative models that provide a promising route to sample lattice field theories more efficiently than conventional Monte Carlo simulations.

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