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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
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
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
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

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All publications
Journal article
2022
Sticky Issues in Turbulent Transport
Annales Henri Poincare (2022)
Celani, A. | Reddy, G. | Vergassola, M.
Journal article
2022
Discrete space-time resetting model: application to first-passage and transmission statistics
Journal of Physics A: Mathematical and Theoretical (2022)
Debraj Das | Luca Giuggioli
Journal article
2022
Stochastic resets in the context of a tight-binding chain driven by an oscillating field
Journal of Statistical Mechanics: Theory and Experiment (2022)
Sushanta Dattagupta | Debraj Das | Shamik Gupta
Journal article
2022
Quantum unitary evolution interspersed with repeated non-unitary interactions at random times: the method of stochastic Liouville equation, and two examples of interactions in the context of a tight-binding chain
Journal of Statistical Mechanics: Theory and Experiment (2022)
Debraj Das | Sushanta Dattagupta | Shamik Gupta
Journal article
2022
Quantum random walk and tight-binding model subject to projective measurements at random times
Journal of Statistical Mechanics: Theory and Experiment (2022)
Debraj Das | Shamik Gupta
Preprint
2022
Optimizing Airborne Wind Energy with Reinforcement Learning
The European Physical Journal E (2022)
N. Orzan | C. Leone | A. Mazzolini | J. Oyero | A. Celani
Journal article
2022
A random energy approach to deep learning
Journal of Statistical Mechanics: Theory and Experiment (2022)
Xie, R. | Marsili, M.
Journal article
2022
Quantifying relevance in learning and inference
Physics Reports (2022)
Marsili, M. | Roudi, Y.
Preprint
2022
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso | Sebastian Goldt
Journal article
2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networks
PLOS Computational Biology (2022)
Rainer Engelken | Alessandro Ingrosso | Ramin Khajeh | Sven Goedeke | L. F. Abbott
Journal article
2022
Data-driven emergence of convolutional structure in neural networks
Proceedings of the National Academy of Sciences (2022)
Alessandro Ingrosso | Sebastian Goldt
Journal article
2022
What to Learn from a Few Visible Transitions’ Statistics?
Physical Review X (2022)
Pedro E. Harunari | Annwesha Dutta | Matteo Polettini | Édgar Roldán
Preprint
2022
Martingales for Physicists
Édgar Roldán | Izaak Neri | Raphael Chetrite | Shamik Gupta | Simone Pigolotti | Frank Jülicher | Ken Sekimoto
Journal article
2022
Optimal information usage in binary sequential hypothesis testing
Theory of Probability and Its Applications (2022)
Edgar Roldan
Journal article
2022
Statistical physics of inhomogeneous transport: Unification of diffusion laws and inference from first-passage statistics
Physical Review E (2022)
Edgar Roldan
Journal article
2022
Survival and extreme statistics of work, heat, and entropy production in steady-state heat engines
Physical Review E (2022)
Edgar Roldan
Journal article
2022
Learning the Hydrophobic, Hydrophilic, and Aromatic Character of Amino Acids from Thermal Relaxation and Interfacial Thermal Conductance
The Journal of Physical Chemistry B (2022)
Heydar Hamzi | Ali Rajabpour | Édgar Roldán | Ali Hassanali
Journal article
2022
The impact of memory on learning sequence-to-sequence tasks
arXiv preprint arXiv:2205.14683 (2022)
Edgar Roldan
Journal article
2022
Martingales for Physicists
arXiv preprint arXiv:2210.09983 (2022)
Edgar Roldan
Journal article
2022
What to learn from few visible transitions' statistics?
arXiv preprint arXiv:2203.07427 (2022)
Edgar Roldan
Journal article
2022
Modeling Active Non-Markovian Oscillations
Phys. Rev. Lett. (2022)
Edgar Roldan
Preprint
2022
Stable cooperation emerges in stochastic multiplicative growth
Physical Review E (2022)
Lorenzo Fant | Onofrio Mazzarisi | Emanuele Panizon | Jacopo Grilli
Journal article
2022
Protein degradation sets the fraction of active ribosomes at vanishing growth
PLOS Computational Biology (2022)
Ludovico Calabrese | Oleg A Igoshin | Jacopo Grilli | Matteo Osella | Christopher P. Kempes | Marco Cosentino Lagomarsino | Luca Ciandrini
Journal article
2022
The stochastic logistic model with correlated carrying capacities reproduces beta-diversity metrics of microbial communities
PLOS Computational Biology (2022)
Silvia Zaoli | Tobias Bollenbach | Jacopo Grilli
Journal article
2022
ppGpp is a bacterial cell size regulator
Current Biology (2022)
Ferhat Büke | Jacopo Grilli | Marco Cosentino Lagomarsino | Gregory Bokinsky | Sander J. Tans
Preprint
2021
Disentangling the critical signatures of neural activity
Benedetta Mariani | Giorgio Nicoletti | Marta Bisio | Marta Maschietto | Stefano Vassanelli | Samir Suweis
Preprint
2021
Mutual information disentangles interactions from changing environments
Giorgio Nicoletti | Daniel Maria Busiello
Journal article
2021
Mutual Information Disentangles Interactions from Changing Environments
Physical Review Letters (2021)
Giorgio Nicoletti | Daniel Maria Busiello
Preprint
2021
The emergence of scale-free fires in Australia
Giorgio Nicoletti | Leonardo Saravia | Fernando Momo | Amos Maritan | Samir Suweis
Journal article
2021
Neuronal Avalanches Across the Rat Somatosensory Barrel Cortex and the Effect of Single Whisker Stimulation
Frontiers in Systems Neuroscience (2021)
Mariani, B. | Nicoletti, G. | Bisio, M. | Maschietto, M. | Oboe, R. | Leparulo, A. | Suweis, S. | Vassanelli, S.

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