I still don’t really get what is new here. It sounds like he is proposing a way to improve generative sampling by modeling a system as a neural network with flow constraints over states? I guess I’d like to see a more concrete implementation over something RL struggles with like hand movement to really grasp what he’s proposing. Otherwise it has a similar ring to liquid neural networks, which supposedly have some great mathematical properties but still don’t work in practice.
So cool!
haha the part about bats had me laugh out loud
👍👍👍
Great video. Do you guys do collaborations and guest presentations
I still don’t really get what is new here. It sounds like he is proposing a way to improve generative sampling by modeling a system as a neural network with flow constraints over states?
I guess I’d like to see a more concrete implementation over something RL struggles with like hand movement to really grasp what he’s proposing. Otherwise it has a similar ring to liquid neural networks, which supposedly have some great mathematical properties but still don’t work in practice.
I love your take on LSMs - even though i love them and I spent like 3 years working on them
It's not clear what it is exactly that you're claiming/asking in the first part of your comment.