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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
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

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All publications
Journal article
2022
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number
Physical Review Fluids (2022)
Borra, F. | Biferale, L. | Cencini, M. | Celani, A.
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
Modeling Active Non-Markovian Oscillations
Phys. Rev. Lett. (2022)
Edgar Roldan
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
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
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.
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

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