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cs.LG2026
METRO: Metric-Enhanced Token Routing Operator
Nodens Koren, Thomas Hofmann, Georgios Kissas
State-of-the-art neural operators scale to complex meshes via slice-and-process architectures, yet many rely on linear compatibility scores for latent tokenization. Under common fe…
cs.LG2026
Advectra: Asymmetric Latent Transport for Non-Stationary Physics
Nodens Koren, Thomas Hofmann, Georgios Kissas
Many latent neural operators represent input and output fields in a stationary latent chart. In particular, common latent routing mechanisms use fixed or shared assignment weights…
cs.LG2026
The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System
Thomas Hofmann
Many phenomena of deep learning are dynamical: they concern not only which minima exist, but how gradient descent reaches, avoids, or selects among them. Edge-of-stability behavior…