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20222026
most citedRotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations

13 citations · 27 across the 5 of their papers we have counts for

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cond-mat.dis-nn2026

Neural Renormalization Group Flow for Percolation

Anaclara Alvez, Luca Camagna, Sergio Chibbaro +4

Machine learning offers a possible route to data-driven real-space renormalization when the relevant observables are nonlocal and difficult to prescribe explicitly. We explore this…

cond-mat.dis-nn2026

Learning and extrapolating scale-invariant processes

Anaclara Alvez-Canepa, Cyril Furtlehner, François P. Landes

Machine Learning (ML) has deeply changed some fields recently, like Language and Vision and we may expect it to be relevant also to the analysis of of complex systems. Here we want…