Around 2019, the speaker's group introduced scGen, applying linear shifts in a nonlinearly encoded latent space and comparing it with simpler linear-shift methods.

“We had then our, our scGen that was like something around twenty nineteen, where we started introducing linear shifts, but in the latent space, so sort of nonlinear encoded, and we always compared with subtle, uh, sort of simpler, uh, linear shifts.”