(2) To model the inter-network alignment, we design a unified optimization framework over proposed dynamic graph autoencoders, constructing a common subspace for user alignment across different ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...

Knowledge tracing defines the task of predicting future performance of students based on their historical interactions. Recently, some graph-based methods try to capture correspondence between ...

According to Meta, V-JEPA 2 is 30x faster than Nvidia’s Cosmos model, which also tries to enhance intelligence related to the physical world. However, Meta may be evaluating its own models ...

On the negative side, the model has a longer response time than o1-pro. Furthermore, users won’t be able to have temporary chats with o3-pro, with Open AI labeling this as a ‘technical issue.’ ...

Today, we’re excited to share V-JEPA 2, our state-of-the-art world model, trained on video, that enables robots and other AI agents to understand the physical world and predict how it will respond to ...