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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
2026
Stochastic modeling of long-legged ant A. gracilipes locomotion in laboratory experiments
Jack Featherstone | Anouk Béraud | Meta Virant-Doberlet | Antonio Celani | Mahesh Bandi
Preprint
2025
Learning to flock in open space by avoiding collisions and staying together
Martino Brambati | Antonio Celani | Marco Gherardi | Francesco Ginelli
Journal article
2025
Harvesting energy from turbulent winds with reinforcement learning (a)
Europhysics Letters (2025)
L. Basile | M. G. Berni | A. Celani
Preprint
2025
Information-directed sampling for bandits: a primer
Annika Hirling | Giorgio Nicoletti | Antonio Celani
Preprint
2025
From entropic constraints to reinforced processes: a probabilistic origin of multiscale measures
Francesco Camilli | Pierluigi Contucci | Emanuele Mingione
Preprint
2025
Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation
Jean Barbier | Francesco Camilli | Minh-Toan Nguyen | Mauro Pastore | Rudy Skerk
Journal article
2025
First-passage-time asymmetry for biased run-and-tumble processes
Journal of Physics A: Mathematical and Theoretical (2025)
Yonathan Sarmiento | Benjamin Walter | Debraj Das | Samvit Mahapatra | Édgar Roldán | Rosemary J Harris
Journal article
2025
Fast nonlinear integration drives accurate encoding of input information in large multiscale systems
Communications Physics (2025)
Giorgio Nicoletti | Daniel Maria Busiello
Preprint
2025
Modeling Spatial Synchronization of Predator-Prey Oscillations via the XY Model under Demographic Stochasticity and Migration
Solmaz Golmohammadi | Mina Zarei | Jacopo Grilli
Journal article
2025
Central limit theorem for the overlaps in mean-field spin glasses on the Nishimori line
Francesco Camilli
Journal article
2025
Phase Diagram of Extensive-Rank Symmetric Matrix Denoising beyond Rotational Invariance
Francesco Camilli
Journal article
2025
Optimal trajectories for Bayesian olfactory search in turbulent flows: The low information limit and beyond
Physical Review Fluids (2025)
R. A. Heinonen | L. Biferale | A. Celani | M. Vergassola

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All publications
Journal article
2022
Diversity patterns and speciation processes in a two-island system with continuous migration
ArXiv (2022)
Princepe, Debora | Czarnobai, Simone | M. Pradella, Thiago | A. Caetano, Rodrigo | M. D. Marquitti, Flavia | A. M. de Aguiar, Marcus | B. L. Araujo, Sabrina
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
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

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