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Accurate pouring using model predictive control
A dataset of pouring tasks using model predictive control. -
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Time series data analysis, clustering algorithms, recurrent neural network, variational Bayes method -
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
Sequential recommendation is a fundamental task for network applications, and it usually suffers from the item cold start problem due to the insufficiency of user feedbacks. -
Hybrid convolution-recurrent neural network surrogate model for geothermal re...
A hybrid convolution-recurrent neural network surrogate model was constructed to approximate the relationship between permeability fields, well control sequences, and production...
