Sagar Jain

Factorized Recurrent Neural Architectures for Longer Range Dependence

The ability to capture Long Range Dependence (LRD) in a stochastic process is of prime importance in the context of predictive models. A sequential model with a longer-term memory is better able contextualize recent observations. In this article, we apply the theory of LRD stochastic processes to mo…