works on
galaxy mergers 1gravitational waves 1massive black holes 1normalizing flows 1stellar bars 1

From the 1 of 4 linked papers with an AI index.

most citedDark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2026

Scaling Behavior of Discrete Diffusion Language Models

Dimitri von Rütte, Janis Fluri, Omead Pooladzandi +3

Modern LLM pre-training consumes vast amounts of compute and training data, making the scaling behavior, or scaling laws, of different models a key distinguishing factor. Discrete…