Robuta

We study the problem of data reduction for clustering when the input dataset $\widehat{P}$ is a noisy version of the true dataset $P$. Motivation for this...

A huge update to ambient is finally on CRAN… mostly because I forgot to submit it a year ago 😬

Have you ever looked at your vibrating wire data and thought: “What is going on here?” If your graphs are full of strange spikes and patterns, electrical...

Noisy measurement data pose a challenge for changepoint analysis, especially in the presence of multiple changepoints and when the model is nonlinear.

Test-time adaptation (TTA) aims to address distributional shifts between training and testing data using only unlabeled test data streams for continual model...