Lorenzo Dall'Amico
@lo-dallamico.bsky.social
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Postdoctoral fellow at ISI Foundation working on temporal networks, embeddings and surrounding
New publication! I am happy to announce that the paper "Learning distributed representations with efficient SoftMax normalization" I authored with Enrico Maria Belliardo has been published in Transactions of Machine Learning Research
@tmlrorg.bsky.social
.
7 months ago
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reposted by
Lorenzo Dall'Amico
Mattia Mazzoli
10 months ago
🚨Happy to share our latest study on the resilience of the mobility network to first and second wave Covid-19 interventions in Chile. 🦠 Thanks to Pasquale Casaburi for leading this and the team! 🔗
journals.plos.org/ploscompbiol...
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Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile
Author summary Population response to public health interventions during the Covid-19 pandemic exhibited strong heterogeneities associated to socio-economic factors, labour structure and demographics ...
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012802
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reposted by
Lorenzo Dall'Amico
Ciro Cattuto
about 1 year ago
New paper out in Nature Communications:
www.nature.com/articles/s41...
With Lorenzo Dall'Amico and
@alainbarrat.bsky.social
, we define a distance between temporal networks and explore its sensitivity to complex features in empirical temporal network data.
@isifoundation.bsky.social
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An embedding-based distance for temporal graphs - Nature Communications
Temporal graphs can be applied to represent time-evolving complex natural systems, describing the evolution of the interactions between system elements, however quantifying the similarity between temp...
https://www.nature.com/articles/s41467-024-54280-4
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reposted by
Lorenzo Dall'Amico
Michele Tizzani
about 1 year ago
Kicking off the EcoSocEpi workshop at
@isifoundation.bsky.social
.
#epidemics
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