description [ICLR 2026][Graph Learning][GNN] This paper proves, from the geometric perspective of graph Ricci curvature, that the bipartite graph representation of random k-SAT instances exhibits ...

Quantum electrodynamics (QED) is one of the most successful physical theories ever constructed. Its predictions for scattering amplitudes, magnetic moments, and radiative corrections agree with ...

After working through many ML and deep learning projects, and thinking deeply about what’s actually going on inside these models, I want to explain it in a way that finally clicked for me. This is not ...

Matrix concentration inequalities, intimately connected to the Non-Commutative Khintchine inequality, have been an important tool in both applied and pure mathematics. We study tensor versions of ...