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most citedTask complexity shapes internal representations and robustness in neural networks

1 citations · 2 across the 6 of their papers we have counts for

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physics.soc-ph2026

Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis

Aina Ferrà Marcús, Robert Jankowski, Meritxell Vila Miñana +2

Many complex networks, ranging from social to biological systems, exhibit structural patterns consistent with an underlying hyperbolic geometry. Revealing the dimensionality of thi…

physics.soc-ph20261 cited

Trade-offs between structural richness and perceptual robustness in music network representations

Lluc Bono Rosselló, Robert Jankowski, Hugues Bersini +2

Music is a structured and perceptually rich sequence of sounds in time, whose perception is shaped by the interplay of expectation and uncertainty about what comes next. Yet the un…

physics.soc-ph2026

Shortest-path percolation on scale-free networks

Minsuk Kim, Lorenzo Cirigliano, Claudio Castellano +4

The shortest-path percolation (SPP) model aims at describing the consumption and eventual exhaustion of a network's resources. Starting from a network containing a macroscopic conn…

physics.soc-ph2026

Mapping bipartite networks into multidimensional hyperbolic spaces

Robert Jankowski, Roya Aliakbarisani, M. Ángeles Serrano +1

Bipartite networks appear in many real-world contexts, linking entities across two distinct sets. They are often analyzed via one-mode projections, but such projections can introdu…

physics.soc-ph2024

Feature-aware ultra-low dimensional reduction of real networks

Robert Jankowski, Pegah Hozhabrierdi, Marián Boguñá +1

In existing models and embedding methods of networked systems, node features describing their qualities are usually overlooked in favor of focusing solely on node connectivity. Thi…