_Ruffy_
_Ruffy_ OP t1_iwyy8g2 wrote
Reply to comment by mythrowaway0852 in [D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-) by _Ruffy_
Thank you!!
_Ruffy_ OP t1_iwymmlv wrote
Reply to comment by Bitter_Campaign706 in [D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-) by _Ruffy_
Thanks for the hint! Will check it out.
_Ruffy_ OP t1_iwymlw5 wrote
Reply to comment by [deleted] in [D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-) by _Ruffy_
One. So I am passing a single latent through the generator. Shouldnt make a difference though, should it? Generator is in .eval() mode.
_Ruffy_ OP t1_iwymjmq wrote
Reply to comment by bloc97 in [D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-) by _Ruffy_
>Try a global search metaheuristic on top of the gradient descent like simulated annealing or genetic algorithms?
Will look into this, thanks!
_Ruffy_ OP t1_iwymh68 wrote
Reply to comment by Bitter_Campaign706 in [D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-) by _Ruffy_
Thanks for the gracious offer! I will try some reading on GAN priors and if I can't figure it out myself, I am going to reach out :)
_Ruffy_ t1_iri6u60 wrote
Reply to comment by carlthome in [D] AlphaTensor Explained (Video Walkthrough) by ykilcher
I'd say the multiplicative factors left out in the O-notation actually matter in practice..
_Ruffy_ t1_j635zdc wrote
Reply to comment by nmfisher in [R] SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot by Secure-Technology-78
Good idea in principle, anyone know more about this or any references?