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All saved papers · 18 items
Learning Theory
NeurIPS 2026

The Geometry of In-Context Learning

S. von Oswald, E. Nichani, M. Ahn

Saved 2 days ago
Neural Operators
JMLR

Scaling Laws for Neural Operators

A. Kovachki, Z. Li, A. Anandkumar

Saved 3 days ago
Formal Methods
ICLR 2026

Proof Automation with Language Models

L. Zhang, K. Yang, S. Polu

Saved 4 days ago
𝒢Geometric AI
AISTATS 2026

Spectral Bias Beyond Euclidean Domains

M. Bronstein, J. Bruna, T. Cohen

Saved 5 days ago
WEEKLY DIGEST · ISSUE 32

The geometry issue.

Six papers on why structure—not scale—may be the real engine of intelligence.

Read this week's brief →