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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.

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13 results for tribute

Have you ever looked at a machine learning classification model and thought, I could have made that? Well, that is what we test in this project, comparing XGBoost trained on human engineered features to training directly on data. The human engineered features do not outperform XGBoost trained di- rectly on the data, bu…

2016-09-04abs ↗pdf ↗

Many networks are complex dynamical systems, where both attributes of nodes and topology of the network (link structure) can change with time. We propose a model of co-evolving networks where both node at- tributes and network structure evolve under mutual influence. Specifically, we consider a mixed membership stochas…

2011-06-14abs ↗pdf ↗

Bayesian method improves grid admittance matrix estimation from noisy data.

problem Accurate estimation of power grid admittance matrix in dynamic systems.
method Data-driven identification using voltage and current measurements, Bayesian approach.
result Significantly greater accuracy in admittance matrix estimation compared to existing methods.

This paper revisits Differential Galois Theory using Hopf algebras for Lie pseudogroups.

problem Understanding the structure of algebraic Lie pseudogroups using differential algebra and geometry.
method Mixing differential algebra, differential geometry, and algebraic geometry; using Hopf algebras.
result Reveals confusion between prime differential ideals and maximal ideals in Vessiot's work.