ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecastingby GaoXiang Zhao,…
Approximating G(t)/GI/1 queues with deep learningby Eliran Sherzer, Opher Baron, Dmitry Krass, Yehezkel ResheffFirst submitted…
Just read twice: closing the recall gap for recurrent language modelsby Simran Arora, Aman Timalsina,…
Simplifying Deep Temporal Difference Learningby Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja,…
Token-Weighted RNN-T for Learning from Flawed Databy Gil Keren, Wei Zhou, Ozlem KalinliFirst submitted to…
Deep Learning for Prediction and Classifying the Dynamical behaviour of Piecewise Smooth Mapsby Vismaya V…
A Conceptual Framework For Trie-Augmented Neural Networks (TANNS)by Temitayo AdefemiFirst submitted to arxiv on: 11…
Outlier detection in maritime environments using AIS data and deep recurrent architecturesby Constantine Maganaris, Eftychios…
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecastingby Qi Sima, Xinze Zhang,…
Separations in the Representational Capabilities of Transformers and Recurrent Architecturesby Satwik Bhattamishra, Michael Hahn, Phil…