From the 1 of 2 linked papers with an AI index.
2 papers
astro-ph.GA2026
Emulating the complex galactic-scale orbital dynamics of LISA massive black hole pairs with normalizing flows
Pedro R. Capelo, Carlos Moreno Martinez, Nodens Koren +6
The paper introduces a machine‑learning emulator based on conditional normalizing flows to rapidly predict the orbital decay of massive black hole pairs in galaxy merger remnants,…
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…