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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
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
Data-driven emergence of convolutional structure in neural networks
Proceedings of the National Academy of Sciences (2022)
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

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All publications
Journal article
Stochastic resetting antiviral therapies prevents drug resistance development: Supplemental Material
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Edgar Roldan

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