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Lorenzo Dall'Amico @lo-dallamico.bsky.social · 04/06/2025

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.

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Reposted by Lorenzo Dall'Amico

Mattia Mazzoli @mattiamazzoli.bsky.social · 26/02/2025

🚨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...

journals.plos.org

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 ...

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Reposted by Lorenzo Dall'Amico

Ciro Cattuto @ccattuto.bsky.social · 18/11/2024

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

nature.com

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...

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Reposted by Lorenzo Dall'Amico

Michele Tizzani @mictiz.bsky.social · 19/11/2024

Kicking off the EcoSocEpi workshop at @isifoundation.bsky.social. #epidemics

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