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From the 2 of 12 linked papers with an AI index.
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cs.LG2026
Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions
Igor Halperin
Observable Matrix Dynamics (OMD) is a diagnostic framework that probes the dynamics of high-dimensional internal representations of inputs by a neural network via a fixed-size $N \…
cs.LG2026
I-BBS: Coordinate-Free Inference of Latent Sub-Manifolds Using Random Distance Matrix Theory
Igor Halperin
Bogomolny, Bohigas and Schmit (BBS) found that the spectrum of the pairwise distance matrix on N points sampled from a smooth d-dimensional manifold encodes a signature of the unde…