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.
Dual Bayesian Affine Estimators for Wiener-type state-space models
Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high importance to develop flexible models of signals defined over graphs or networks. In this paper, we generalize the traditional concept of wide …
Geometrically represents path integral reduction Jacobian for interacting systems.
Reduces path integrals for interacting systems using dependent coordinates.