A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
The article reviews key contributions to hyperspectral unmixing.
Complete classification of links and spatial graphs with finite N-quandles.
In this work we study the Lebesgue property for convex risk measures on the space of bounded càdlàg random processes (). Lebesgue property has been defined for one period convex risk measures in \cite{Jo} and earlier had been studied in \cite{De} for coherent risk measures. We introduce and study th…
Classifies spatial graphs with finite N-quandles.
Given a Riemannian metric on the 2-sphere, sweep the 2-sphere out by a continuous one-parameter family of closed curves starting and ending at point curves. Pull the sweepout tight by, in a continuous way, pulling each curve as tight as possible yet preserving the sweepout. We show the following useful property (see Th…
New datasets reveal neural networks can rely on simple features, leading to poor generalization.