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cs.LG2026
LLMs with in-context learning for Algorithmic Theoretical Physics
Anamaria Hell, Leander Thiele
There is an increasing number of algorithmic computations in theoretical physics. These, while conceptually simple, can nevertheless be time-consuming and contain subtleties that s…
cs.LG2025
Set-based Implicit Likelihood Inference of Galaxy Cluster Mass
Bonny Y. Wang, Leander Thiele
We present a set-based machine learning framework that infers posterior distributions of galaxy cluster masses from projected galaxy dynamics. Our model combines Deep Sets and cond…