2 ms·
Seems like they just mean the vector version of a Gaussian function: f(r) = exp(-r•r). Basically a "bell curve" except in 3D so it's a ball that's dense at the
by ndriscoll 3y ago
Seems like they just mean the vector version of a Gaussian function: f(r) = exp(-r•r). Basically a "bell curve" except in 3D so it's a ball that's dense at the center and dies off. Then the optimizer might learn to produce an intensity, offset, and width for each point in a cloud, so the A,B,C for A*f((r-B)/C) at each point or something.
- blovescoffee 3y agoThis is in fact what the optimizer does. At least in the original paper, the model learns to skew and rotate the gaussians.