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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 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
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
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
2021
Epidemic mitigation by statistical inference from contact tracing data
Proceedings of the National Academy of Sciences of the United States of America (2021)
Baker, A. | Biazzo, I. | Braunstein, A. | Catania, G. | Dall'Asta, L. | Ingrosso, A. | Krzakala, F. | Mazza, F. | Mézard, M. | Muntoni, A.P. | Refinetti, M. | Mannelli, S.S. | Zdeborová, L.
Preprint
2021
Learning the Hydrophilic, Hydrophobic and Aromatic Character of Amino Acids from their Interfacial Thermal Conductance in Water
Heydar Hamzi | Ali Rajabpour | Édgar Roldán | Ali Hassanali
Journal article
2021
Regular testing of asymptomatic healthcare workers identifies cost-efficient SARS-CoV-2 preventive measures
PloS one (2021)
Edgar Roldan
Journal article
2021
Thermodynamics of gambling demons
Physical Review Letters (2021)
Edgar Roldan
Journal article
2021
Energetics of critical oscillators in active bacterial baths
Journal of Physics A: Mathematical and Theoretical (2021)
Edgar Roldan
Journal article
2021
Modelling strategies to organize healthcare workforce during pandemics: application to COVID-19
Journal of theoretical biology (2021)
Edgar Roldan
Journal article
2021
Phospholipids dock SARS-CoV-2 spike protein via hydrophobic interactions: a minimal in-silico study of lecithin nasal spray therapy
The European Physical Journal E (2021)
Edgar Roldan
Journal article
2021
Quantifying entropy production in active fluctuations of the hair-cell bundle from time irreversibility and uncertainty relations
New Journal of Physics (2021)
Edgar Roldan
Journal article
2021
Threshold accumulation of a constitutive protein explains E. coli cell-division behavior in nutrient upshifts
Proceedings of the National Academy of Sciences (2021)
Mia Panlilio | Jacopo Grilli | Giorgio Tallarico | Ilaria Iuliani | Bianca Sclavi | Pietro Cicuta | Marco Cosentino Lagomarsino
Journal article
2021
Adaptive path interpolation method for sparse systems: Application to a censored block model
IEEE Transactions on Information Theory (2021)
Barbier, J. | Chan, C.L. | Macris, N.
Journal article
2021
A macroecological description of alternative stable states reproduces intra- and inter-host variability of gut microbiome
Science Advances (2021)
Silvia Zaoli | Jacopo Grilli
Journal article
2020
Unsupervised ranking of clustering algorithms by INFOMAX
PLoS ONE (2020)
Sikdar, S. | Mukherjee, A. | Marsili, M.
Journal article
2020
Multiscale relevance and informative encoding in neuronal spike trains
Journal of Computational Neuroscience (2020)
Cubero, R.J. | Marsili, M. | Roudi, Y.
Journal article
2020
On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics
International Journal on Digital Libraries (2020)
Sikdar, S. | Tehria, P. | Marsili, M. | Ganguly, N. | Mukherjee, A.
Journal article
2020
On the importance of being critical
Europhysics News (2020)
Marsili, M.
Preprint
2020
Optimal Learning with Excitatory and Inhibitory synapses
Alessandro Ingrosso
Journal article
2020
A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex
Neuron (2020)
Keller, A.J. | Dipoppa, M. | Roth, M.M. | Caudill, M.S. | Ingrosso, A. | Miller, K.D. | Scanziani, M.
Journal article
2020
Optimal learning with excitatory and inhibitory synapses
PLoS Computational Biology (2020)
Ingrosso, A.
Preprint
2020
Controlling particle currents with evaporation and resetting from an interval
Gennaro Tucci | Andrea Gambassi | Shamik Gupta | Édgar Roldán
Preprint
2020
Energetics of critical oscillators in active bacterial baths
Ashwin Gopal | Édgar Roldán | Stefano Ruffo
Preprint
2020
Stochastic resetting antiviral therapies prevents drug resistance development
Angelo Marco Ramoso | Juan Antonio Magalang | Daniel Sánchez-Taltavull | Jose Perico Esguerra | Édgar Roldán
Preprint
2020
Optimal Work Extraction and the Minimum Description Length Principle
Léo Touzo | Matteo Marsili | Neri Merhav | Édgar Roldán
Preprint
2020
Thermodynamics of Gambling Demons
Gonzalo Manzano | Diego Subero | Olivier Maillet | Rosario Fazio | Jukka P. Pekola | Édgar Roldán
Preprint
2020
First-passage Fingerprints of Water Diffusion near Glutamine Surfaces
Roman Belousov | Muhammad Nawaz Qaisrani | Ali Hassanali | Édgar Roldán
Journal article
2020
Stochastic resetting antiviral therapies prevent drug resistance development
Europhysics Letters (2020)
Edgar Roldan
Journal article
2020
Stochastic thermodynamics: experiment and theory
Journal of Statistical Mechanics: Theory and Experiment (2020)
Edgar Roldan
Journal article
2020
Controlling particle currents with evaporation and resetting from an interval
Physical Review Research (2020)
Edgar Roldan
Journal article
2020
Extreme-value statistics of stochastic transport processes
New Journal of Physics (2020)
Edgar Roldan
Journal article
2020
First-passage Fingerprints of Water Diffusion near Glutamine Surfaces
Soft Matter (2020)
Edgar Roldan
Journal article
2020
Optimal work extraction and the minimum description length principle
Journal of Statistical Mechanics: Theory and Experiment (2020)
Touzo, L. | Marsili, M. | Merhav, N. | Roldán, É.

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