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.
Maps preserving mass and injective on boundary are isometries.
Study mass transport in low-diffusivity using Lagrangian coordinates.
We construct a geometric structure on deformed supermanifolds as a certain subalgebra of the vector fields. In the classical limit we obtain a decoupling of the infinitesimal odd and even transformations, whereas in the semiclassical limit the result is a representation of the supersymmetry algebra. In the case of mass…
Study shows how heat leaks from material sets in low diffusivity scenarios.
New gradient flows for non-negative and probability measures combining optimal transport and interaction forces.
Proposes ESCFR to estimate treatment effects from biased data.
NDDV estimates data point value from a single stochastic trajectory.