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.
Formula derived for curvature in measure spaces.
Unified framework for analyzing gradient flows of measures with exponential decay of entropy.
A new associative memory uses Sinkhorn divergence for efficient pattern retrieval.
This work develops sampling methods for differential privacy using SHK geometry.
This paper uses UOT metrics for better dimensionality reduction and classification/clustering.
The study analyzes the evolution of Gaussian measures under a specific gradient flow.
Proposes a variational NNCC formulation for infinite dimensions.