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Scientists in ICTP's Quantitative Life Sciences section publish their research in some of the world's most prestigious journals; for the latest publications, see below.

Preprint
2025
Statistical mechanics of extensive-width Bayesian neural networks near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
Bayesian inference of minimally complex models with interactions of arbitrary order
Physical Review E (2025)
Clélia de Mulatier | Matteo Marsili
Preprint
2025
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Francesco Camilli | Daria Tieplova | Eleonora Bergamin | Jean Barbier
Preprint
2025
The need for statistical physics in Africa: perspective and an illustration in drug delivery problems
Mtabazi G. Sahini | Isaac Onoka | Said A. H. Vuai | Édgar Roldán | Hulda S. Swai | Daniel M. Shadrack
Journal article
2025
Limit Theorems for the Non-Convex Multispecies Curie–Weiss Model
Mathematics (2025)
Francesco Camilli | Emanuele Mingione | Godwin Osabutey
Preprint
2025
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
Incoherent feedback from coupled amino acids and ribosome pools generates damped oscillations in growing E. coli
Nature Communications (2025)
Rossana Droghetti | Philippe Fuchs | Ilaria Iuliani | Valerio Firmano | Giorgio Tallarico | Ludovico Calabrese | Jacopo Grilli | Bianca Sclavi | Luca Ciandrini | Marco Cosentino Lagomarsino
Preprint
2025
Limit theorems for the non-convex multispecies Curie-Weiss model
Francesco Camilli | Emanuele Mingione | Godwin Osabutey
Journal article
2025
Three-state random energy model
Physical Review E (2025)
Sumedha | Matteo Marsili
Preprint
2025
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Physical Review Research (2025)
Jean Barbier | Francesco Camilli | Yizhou Xu | Marco Mondelli
Journal article
2025
Run-and-Tumble Exact Work Statistics in a Lazy Quantum Measurement Engine: Stochastic Information Processing
Physical Review Letters (2025)
Léa Bresque | Debraj Das | Édgar Roldán

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All publications
Preprint
2025
Statistical mechanics of extensive-width Bayesian neural networks near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
Bayesian inference of minimally complex models with interactions of arbitrary order
Physical Review E (2025)
Clélia de Mulatier | Matteo Marsili
Preprint
2025
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Francesco Camilli | Daria Tieplova | Eleonora Bergamin | Jean Barbier
Preprint
2025
The need for statistical physics in Africa: perspective and an illustration in drug delivery problems
Mtabazi G. Sahini | Isaac Onoka | Said A. H. Vuai | Édgar Roldán | Hulda S. Swai | Daniel M. Shadrack
Journal article
2025
Limit Theorems for the Non-Convex Multispecies Curie–Weiss Model
Mathematics (2025)
Francesco Camilli | Emanuele Mingione | Godwin Osabutey
Preprint
2025
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
Incoherent feedback from coupled amino acids and ribosome pools generates damped oscillations in growing E. coli
Nature Communications (2025)
Rossana Droghetti | Philippe Fuchs | Ilaria Iuliani | Valerio Firmano | Giorgio Tallarico | Ludovico Calabrese | Jacopo Grilli | Bianca Sclavi | Luca Ciandrini | Marco Cosentino Lagomarsino
Preprint
2025
Limit theorems for the non-convex multispecies Curie-Weiss model
Francesco Camilli | Emanuele Mingione | Godwin Osabutey
Journal article
2025
Three-state random energy model
Physical Review E (2025)
Sumedha | Matteo Marsili
Preprint
2025
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Physical Review Research (2025)
Jean Barbier | Francesco Camilli | Yizhou Xu | Marco Mondelli
Journal article
2025
Run-and-Tumble Exact Work Statistics in a Lazy Quantum Measurement Engine: Stochastic Information Processing
Physical Review Letters (2025)
Léa Bresque | Debraj Das | Édgar Roldán
Preprint
2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier | Francesco Camilli | Justin Ko | Koki Okajima
Journal article
2024
Landscape and environmental heterogeneity support coexistence in competitive metacommunities
Proceedings of the National Academy of Sciences (2024)
Prajwal Padmanabha | Giorgio Nicoletti | Davide Bernardi | Samir Suweis | Sandro Azaele | Andrea Rinaldo | Amos Maritan
Journal article
2024
Tuning Transduction from Hidden Observables to Optimize Information Harvesting
Physical Review Letters (2024)
Giorgio Nicoletti | Daniel Maria Busiello
Preprint
2024
Information propagation in Gaussian processes on multilayer networks
Giorgio Nicoletti | Daniel Maria Busiello
Journal article
2024
Information Propagation in Multilayer Systems with Higher-Order Interactions across Timescales
Physical Review X (2024)
Giorgio Nicoletti | Daniel Maria Busiello
Preprint
2024
Tuning transduction from hidden observables to optimize information harvesting
Giorgio Nicoletti | Daniel Maria Busiello
Preprint
2024
Multiscale nonlinear integration drives accurate encoding of input information
Giorgio Nicoletti | Daniel M. Busiello
Preprint
2024
Excitation-inhibition balance controls information encoding in neural populations
Physical Review Letters (2024)
Giacomo Barzon | Daniel Maria Busiello | Giorgio Nicoletti
Journal article
2024
Information propagation in Gaussian processes on multilayer networks
Journal of Physics: Complexity (2024)
Giorgio Nicoletti | Daniel Maria Busiello
Preprint
2024
Information interference driven by environmental activity
Physical Review Research (2024)
Giorgio Nicoletti | Daniel M. Busiello
Preprint
2024
On the phase diagram of the multiscale mean-field spin-glass
Annales Henri Poincaré (2024)
Francesco Camilli | Pierluigi Contucci | Emanuele Mingione | Daniele Tantari
Preprint
2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier | Francesco Camilli | Justin Ko | Koki Okajima
Preprint
2024
Gambling Carnot Engine
Tarek Tohme | Valentina Bedoya | Costantino di Bello | Léa Bresque | Gonzalo Manzano | Édgar Roldán
Preprint
2024
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Jean Barbier | Francesco Camilli | Marco Mondelli | Yizhou Xu
Journal article
2024
Stochastic thermodynamics of a probe in a fluctuating correlated field
Europhysics Letters (2024)
Davide Venturelli | Sarah A. M. Loos | Benjamin Walter | Édgar Roldán | Andrea Gambassi
Journal article
2024
Brownian Particle in a Poisson‐Shot‐Noise Active Bath: Exact Statistics, Effective Temperature, and Inference
Annalen der Physik (2024)
Costantino Di Bello | Rita Majumdar | Rahul Marathe | Ralf Metzler | Édgar Roldán
Preprint
2024
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Jean Barbier | Francesco Camilli | Marco Mondelli | Yizhou Xu
Journal article
2024
The decimation scheme for symmetric matrix factorization
Francesco Camilli

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