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.
Paper reduces hyperparameters in mixed-categorical Gaussian processes for green aircraft optimization.
New GP kernel handles mixed-categorical data, improving model accuracy.
The variational autoencoder (VAE) is a generative model with continuous latent variables where a pair of probabilistic encoder (bottom-up) and decoder (top-down) is jointly learned by stochastic gradient variational Bayes. We first elaborate Gaussian VAE, approximating the local covariance matrix of the decoder as an o…
RTVAE uses β-divergence to detect anomalies in tabular data robustly.
A novel graph spectral method for mixed categorical and numerical data.
SMT-EX enhances SMT for explaining surrogate models of mixed-variable design problems.
SHAP Distance assesses semantic fidelity of synthetic tabular data.
This work tackles robust optimization with multiple objectives for structural design.