most citedRecurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2022

Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs

Kelum Gajamannage, Yonggi Park

Financial markets are highly complex and volatile; thus, learning about such markets for the sake of making predictions is vital to make early alerts about crashes and subsequent r…

cs.LG2021

Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders

Kelum Gajamannage, Yonggi Park, Randy Paffenroth +1

Learning dynamics of collectively moving agents such as fish or humans is an active field in research. Due to natural phenomena such as occlusion and change of illumination, the mu…