[D] Searching for large numbers of local minima in loss landscape

I just watched [this video](https://www.youtube.com/watch?v=UsQihEXL0go) which describes a recent paper that searched for stable elastic knot configurations, which are local minima in the elastic potential energy landscape. From what I can tell, the algorithm the paper used to find these stable configurations was to do the following a large number of times: 1. randomly sample the knot's initial state, 2. Run an optimization algorithm until a local minima is reached (in this case the optimization algorithm is a physics simulation), …

diversity general landscape loss machinelearning numbers optimization sampling state