Francesco Zamponi

Pubblicazioni

Titolo Pubblicato in Anno
Scaling regimes and fluctuations of observables in computer glasses approaching the unjamming transition THE JOURNAL OF CHEMICAL PHYSICS 2024
Towards parsimonious generative modeling of RNA families NUCLEIC ACIDS RESEARCH 2024
The nature of non-phononic excitations in disordered systems NATURE COMMUNICATIONS 2024
Creating equilibrium glassy states via random particle bonding JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT 2024
Unlearning regularization for Boltzmann machines MACHINE LEARNING: SCIENCE AND TECHNOLOGY 2024
Understanding epistatic networks in the B1 β-lactamases through coevolutionary statistical modeling and deep mutational scanning NATURE COMMUNICATIONS 2024
Emergent time scales of epistasis in protein evolution PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2024
Ductile-to-brittle transition and yielding in soft amorphous materials: perspectives and open questions SOFT MATTER 2024
Microscopic observation of two-level systems in a metallic glass model THE JOURNAL OF CHEMICAL PHYSICS 2023
Creating bulk ultrastable glasses by random particle bonding NATURE COMMUNICATIONS 2023
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems MACHINE LEARNING: SCIENCE AND TECHNOLOGY 2023
Introduction to the dynamics of disordered systems: Equilibrium and gradient descent PHYSICA. A 2023
On weak ergodicity breaking in mean-field spin glasses SCIPOST PHYSICS 2023
Finding defects in glasses through machine learning NATURE COMMUNICATIONS 2023
Spin Glass Theory and Far Beyond Spin Glass Theory and Far Beyond: Replica Symmetry Breaking after 40 Years 2023
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks THE JOURNAL OF CHEMICAL PHYSICS 2022
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks THE JOURNAL OF CHEMICAL PHYSICS 2022
Local Dynamical Heterogeneity in Simple Glass Formers PHYSICAL REVIEW LETTERS 2022
Efficient generative modeling of protein sequences using simple autoregressive models NATURE COMMUNICATIONS 2022
Modeling Sequence-Space Exploration and Emergence of Epistatic Signals in Protein Evolution MOLECULAR BIOLOGY AND EVOLUTION 2022

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma