Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
Engineers at Duke University have constructed a group of AI bots that together can solve complex design problems nearly as well as a fully trained scientist. The results, the researchers say, show how ...
Sources tell The Sun that two pro dancers from Dancing With the Stars are considering quitting. There is allegedly "rivalry" between the veteran dancers and the newer dancers. Per a source: "older ...
Code associated with the paper "Gan He, Tiejun Huang and Kai Du, (2025). Going deeper with morphologically detailed neural networks by error-backpropagating mirror neuron" (soon on biorxiv when ready) ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
Abstract: Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have ...
Laboratory for Neural Interface and Brain Computer Interface, MOE Frontiers Center for Brain Science, State Key Laboratory of Brain Function and Disorders, Institute of AI & Robotics, College of ...
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