The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

Abstract: Developing effective predictive models becomes challenging in dynamic environments that continuously produce data and constantly change. Continual learning (CL) and streaming machine ...

Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...