Learn what stochastic depth is, how it works in deep neural networks, and why it helps models train deeper and faster. A ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

Dynamic stochastic general equilibrium models —the impact of macroeconomic policy changes on different sectors of the economy. The electronic music pioneer Iannis Xenakis’s concept of stochastic music ...

The first stochastic model is scenario based, while the second relies on a functional approximation of uncertainty. The results of computational experiments show that these approaches can transfer a ...

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? (FAccT ’21, 3/1/21) by AI ethics experts, Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Margaret Mitchell.

A two-species stochastic mutualism model with saturated response is proposed and investigated in this paper. We demonstrate that there exists a unique positive solution to the model for any positive ...