This algorithm can be used for any adaptive filtering application where RLS-DCD would be used by simply altering the data structure and related matrix and vector update functions. The benefits of ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Recent breakthroughs in artificial intelligence have transformed protein structure biology from a data-limited discipline into a data-driven frontier of ...

An effective approach to solving sparse regularization problems is the iterative re-weighting least squares (IRLSs) algorithm. However, IRLS is computationally intensive and may not be suitable for ...