5 citations · 8 across the 5 of their papers we have counts for
5 papers
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
Anas Dorbani, Sunny Yasser, Jimmy Lin +1
Knowledge-intensive analytical applications retrieve context from both structured tabular data and unstructured, text-free documents for effective decision-making. Large language m…
Consistency of heritability estimation from summary statistics in high-dimensional linear models
David Azriel, Samuel Davenport, Armin Schwartzman
In Genome-Wide Association Studies (GWAS), heritability is defined as the fraction of variance of an outcome explained by a large number of genetic predictors in a high-dimensional…
On the peak height distribution of non-stationary Gaussian random fields: 1D general covariance and scale space
Yu Zhao, Dan Cheng, Samuel Davenport +1
We study the peak height distribution of certain non-stationary Gaussian random fields. The explicit peak height distribution of smooth, non-stationary Gaussian processes in 1D wit…
Peak Inference for Gaussian Random Fields on a Lattice
Tuo Lin, Armin Schwartzman, Samuel Davenport
In this work we develop a Monte Carlo method to compute the height distribution of local maxima of a stationary Gaussian or Gaussian-related random field that is observed on a regu…
Object detection under the linear subspace model with application to cryo-EM images
Amitay Eldar, Keren Mor Waknin, Samuel Davenport +3
Detecting multiple unknown objects in noisy data is a key problem in many scientific fields, such as electron microscopy imaging. A common model for the unknown objects is the line…