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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.

Journal article
2023
Keystone intransitive loops
Proceedings of the National Academy of Sciences (2023)
Jacopo Grilli
Journal article
2023
Dynamics of lattice random walk within regions composed of different media and interfaces
Journal of Statistical Mechanics: Theory and Experiment (2023)
Debraj Das | Luca Giuggioli
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
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
Preprint
2022
Optimizing Airborne Wind Energy with Reinforcement Learning
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

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All publications
Journal article
2023
Keystone intransitive loops
Proceedings of the National Academy of Sciences (2023)
Jacopo Grilli
Journal article
2023
Dynamics of lattice random walk within regions composed of different media and interfaces
Journal of Statistical Mechanics: Theory and Experiment (2023)
Debraj Das | Luca Giuggioli
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
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
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
Journal article
2021
The rise and fall of hubs in self-organized critical learning networks
Journal of Statistical Mechanics: Theory and Experiment (2021)
Roy, A. | Di Santo, S. | Marsili, M.
Journal article
2021
Information thermodynamics of financial markets: The Glosten-Milgrom model
Journal of Statistical Mechanics: Theory and Experiment (2021)
Touzo, L. | Marsili, M. | Zagier, D.
Journal article
2021
Maximal relevance and optimal learning machines
Journal of Statistical Mechanics: Theory and Experiment (2021)
Duranthon, O. | Marsili, M. | Xie, R.
Journal article
2021
Optimal work extraction and mutual information in a generalized Szilárd engine
Physical Review E (2021)
Song, J. | Still, S. | Díaz Hernández Rojas, R. | Pérez Castillo, I. | Marsili, M.

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