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.
New K-indicators model outperforms K-means for large K in big data.
Study of knot complements yields quantum modularity insights.
Knots are commonly found in molecular chains such as DNA and proteins, and they have been considered to be useful models for structural analysis of these molecules. One interested quantity is the minimum number of monomers necessary to realize a molecular knot. The minimum lattice length $\mbox{Len}(K)$ of a knot i…
UCPO improves diversity in reinforcement learning models, maintaining high accuracy.
A new model estimates mixed memberships for categorical data with weighted responses.
The paper analyzes how repeating epochs affects data scaling in linear regression.