12 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
Maunika Tamire, Srinivas Anumasa, P. K. Srijith
Classification of posts in social media such as Twitter is difficult due to the noisy and short nature of texts. Sequence classification models based on recurrent neural networks (…
cs.LG2021
Latent Time Neural Ordinary Differential Equations
Srinivas Anumasa, P. K. Srijith
Neural ordinary differential equations (NODE) have been proposed as a continuous depth generalization to popular deep learning models such as Residual networks (ResNets). They prov…
cs.LG2021★ 12 cited
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
Srinivas Anumasa, P. K. Srijith
Neural ordinary differential equations (NODE) have been proposed as a continuous depth generalization to popular deep learning models such as Residual networks (ResNets). They prov…