Oregon Health & Science University, in collaboration with Oregon State University, has discovered the structural organization ...

This work proposes an SNN-based encoder-decoder model to improve the recognition performance of AER objects. An STDP-based locally connected spiking neural network (LC-SNN) is proposed as an encoder ...

where the reconstruction model may overfit the anomalous data. To this end, we propose a new reconstruction based graph anomaly detection method (GADMR for short). GADMR introduces a multi-scale ...

The structure of IBM's materials family of foundation models ... SMI-SSED [HuggingFace] SMI-SSED (SMILES-SSED) is a Mamba-based encoder-decoder model pre-trained on a curated dataset of 91 million ...

Conclusion: The experimental results indicate that our model provides a cost-effective and high-precision ... The network architecture of nnUNet is the same as that of UNet, following the ...

Detailed descriptions of behavior provide critical insight into the structure and function of nervous systems ... Our implementation of the network comprises two main modules: an encoder and a decoder ...

We will delve into the technical details in this section. Figure 1. The diagram of the 3DTU framework in an encoder–decoder setting. The encoder consists of two parts including feature extraction and ...