AI models weren't that good at coding. Then, in the summer of 2024, Anthropic released a new model that blew everyone away.

To address these challenges, we propose a Noise-Consistent hypeRgraph AutoEncoder framework with denoising strategies, termed NCRAE, aimed at achieving robust node embeddings in ceRNA regulatory ...

This mitigates the black-box nature of autoencoder-based anomaly detection algorithms and offers an avenue for further investigation of advantages, fail cases, and potential new directions.

Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input? Would you have an example on how to use the mask ...

By using an autoencoder as a dimension reduction tool, an Autoencoder-embedded Teaching-Learning Based Optimization (ATLBO) has been proved to be effective in solving high-dimensional computationally ...

Citation: An Y, Hu S, Duan X, Zhao L, Xie C and Zhao Y (2021) Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder.