Pairwise dot-product self-attention is key to the success of transformers that achieve state-of-
the-art performance across a variety of applications in language and vision. This dot-product …

We introduce a Model Predictive Control (MPC) framework for training deep neural
networks, systematically unifying the Back-Propagation (BP) and Forward-Forward (FF) …

With the proliferation of the Large Language Model (LLM), the concept of World Models
(WM) has recently attracted a great deal of attention in the AI research community, especially …

Large language models (LLMs) have made significant strides in various applications, but
optimizing their task planning capabilities remains a critical challenge. To address this, we …

We introduce a Model Predictive Control (MPC) framework for training deep neural
networks, systematically unifying the Back-Propagation (BP) and Forward-Forward (FF) …