IEEE

Parallel Hybrid LSTM with Longitudinal Memory: To Handle Longer Sequential Data

Abstract: Long Short-Term Memory (LSTM), a variant of Recurrent Neural Network (RNN), is designed to process and predict sequential information effectively, addressing issues such as vanishing and ...

Exploding head syndrome: the surprisingly common condition with a terrifying name

In 1619, a loud sound and a bright flash of light woke philosopher René Descartes from a dream. Was it divine revelation – or ...
IEEE

Learned Over-Parametrized Gradient Descent Method for Non-Negative Least Squares Problem

Abstract: The non-negative least squares (NNLS) problem finds a non-negative approximate solution to a linear system. Some well-studied iterative algorithms (such as projection gradient method) find ...