proposes a VaR estimator by combining quantile regression with"Mogrifier" recurrent neural networks to capture the "long memory …

We extend recurrent neural networks to include several flexible timescales for each dimension of their output, which …

technology and recurrent neural networks. The proposed system monitors the players' health in real-time, making it one of the …

Deep neural network (DNN) architectures such as recurrent neural networks and transformers display outstanding …-varying data. The paper provides a comprehensive evaluation of the ability of recurrent neural networks and transformers for … set from a large financial services company, we find recurrent neural networks to outperform transformer architectures …

premia for BR[I]CS countries as accurately as possible. In the time series setting, these recurrent neural networks are ELMAN …