3 papers
cs.LG2026
From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers
Ziming Liu, Sophia Sanborn, Surya Ganguli +1
Can general-purpose AI architectures go beyond prediction to discover the physical laws governing the universe? True intelligence relies on "world models" -- causal abstractions th…
math.FA2025
A note on the Muckenhoupt class
Eleftherios N. Nikolidakis, Andreas G. Tolias
We provide a direct proof of the best possible reverse Holder inequality satisfied by every weight defined on the interval with A1-constant equal to c > 1.
cs.AI2025
NeuroAI for AI Safety
Patrick Mineault, Niccolò Zanichelli, Joanne Zichen Peng +12
As AI systems become increasingly powerful, the need for safe AI has become more pressing. Humans are an attractive model for AI safety: as the only known agents capable of general…