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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
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
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
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

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All publications
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
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

Sorry no results