Gradient flow is continuous-time gradient descent over a density rather than a finite set of parameters, and the speaker says gradient flows have favorable properties even in finite dimensions.

“The uh and this effectively is a like a continuous uh effectively it's like grain descent, but in continuous time. And instead of over having a finite number of parameters, you do it over uh like the the actual density. So it's a it's called a gradient flow. And these have really really nice properties. So even in like finite uh dimensions, and uh uh the these continuous normalising flows uh the these gradient flows have super nice properties. So”