This paper explores the use of clustering models of stocks to improve both (a) the prediction
of stock prices and (b) the returns of trading algorithms. We cluster stocks using k-means …

Generative AI has received much attention in the image and language domains, with the
transformer neural network continuing to dominate the state of the art. Application of these …

Cardiovascular disease (CVD) is a leading cause of death globally. The unpredictability and
severity of CVDs, such as sudden cardiac arrests, necessitate real-time monitoring and …

Feed-forward deep neural networks (DNNs) are the state of the art in timeseries forecasting.
A particularly significant scenario is the causal one: when an arbitrary subset of variables of …

In the realm of fluid mechanics, where computationally-intensive simulations demand
significant time investments, especially in predicting aerodynamic coefficients, the …