Alternative splicing (AS) of pre-mRNA plays a crucial role in tissue-specific gene regulation, with disease implications due to splicing defects. Predicting and manipulating AS can therefore uncover ...

We train this model by maximizing log-likelihood of the training data represented as SMILES strings. Junction Tree VAE (JTN-VAE) (Jin et al., 2018) generates molecules in two phases by exploiting ...

With the advent of brain imaging techniques and machine learning tools, much effort has been devoted to building computational models to capture the encoding of visual information in the human brain.

We design and implement Open-Sora, an initiative dedicated to efficiently producing high-quality video. We hope to make the model, tools and all details accessible to all. By embracing open-source ...

WF-VAE utilizes a multi-level wavelet transform to construct an efficient energy pathway, enabling low-frequency information from video data to flow into latent representation. This method achieves ...