cond-mat.dis-nn · 2026-08-30 · No. 100

Disordered Systems and Neural Networks, 2026-08-30.

2 new papers in cond-mat.dis-nn. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Neural Renormalization Group Flow for Percolation

    Anaclara Alvez, Luca Camagna, Sergio Chibbaro, Cyril Furtlehner, François Landes, Gianluca Manzan, Lorenzo Mensi

    cond-mat.dis-nn · cs.LG

    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 idea for two-dimensional site percolation developping a supervised, scale-shared neural architecture. The model recursively applies the same learned coarse-graining rule across scales, producing a latent field from which the crossing probability is predicted, while...

    arxiv.org/abs/2608.26764 · PDF

  2. 02

    Dynamical phase selection controls compute scaling in looped transformers

    Gunn Kim

    cond-mat.dis-nn · cond-mat.stat-mech · cs.LG

    A looped transformer performs inference by iterating a weight-tied map, making its computation a dynamical process whose cost is set by the resulting inference dynamics. Here we show that networks with identical architecture and objective, trained to identical accuracy, nevertheless realize distinct dynamical phases depending strongly on initialization, and that the bifurcation defining each phase determines how test-time compute scales. The...

    arxiv.org/abs/2608.26556 · PDF

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