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Found 4 papers, 0 papers with code
Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error distortion measure.
Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks
To combine the DNP descriptor and chemical features in molecules, we construct the Robust Molecular Graph Convolutional Network (RoM-GCN) which is capable to take both node and edge features into consideration when generating molecule representations.
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology
Advances in biomedicine are largely fueled by exploring uncharted territories of human biology.
Real-world plant species identification based on deep convolutional neural networks and visual attention
We propose a novel framework and an effective data augmentation method for deep learning in this paper.
