github.com/GFNOrg/torch...
We believe we’ve built the go-to library for fundamental GFlowNet methods development and prototyping, and we’re really excited to help you start using it.
github.com/GFNOrg/torch...
We believe we’ve built the go-to library for fundamental GFlowNet methods development and prototyping, and we’re really excited to help you start using it.
github.com/GFNOrg/torch...
We believe we’ve built the go-to library for fundamental GFlowNet methods development and prototyping, and we’re really excited to help you start using it.
Can we simultaneously learn transformation-invariant and transformation-equivariant representations with self-supervised learning?
TL;DR Yes! This is possible via simple predictive learning & architectural inductive biases – without extra loss terms and predictors!
🧵 (1/10)
Can we simultaneously learn transformation-invariant and transformation-equivariant representations with self-supervised learning?
TL;DR Yes! This is possible via simple predictive learning & architectural inductive biases – without extra loss terms and predictors!
🧵 (1/10)
We address the credit assignment challenge under long trajectories in RL or GFlowNets by constructing high order actions, or “chunks”, effectively compressing trajectory lengths!
We address the credit assignment challenge under long trajectories in RL or GFlowNets by constructing high order actions, or “chunks”, effectively compressing trajectory lengths!
www.statnews.com/2023/11/14/u...
www.statnews.com/2023/11/14/u...
generative deep learning www.biorxiv.org/content/10.1...
No code is available yet, but sounds huge. Effectively does MD-sim, but fast!
generative deep learning www.biorxiv.org/content/10.1...
No code is available yet, but sounds huge. Effectively does MD-sim, but fast!
go.bsky.app/9nXTDHo
go.bsky.app/9nXTDHo
The results are pretty exciting ! 😄
The results are pretty exciting ! 😄
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
(In brief: Use ESM-2 650M and calculate mean embeddings across sites.)
www.biorxiv.org/content/10.1...
(In brief: Use ESM-2 650M and calculate mean embeddings across sites.)
www.biorxiv.org/content/10.1...
is totally fascinating in that it postulates two underlying, measurable structures that you can use to assess if RL will be easy or hard in an environment
is totally fascinating in that it postulates two underlying, measurable structures that you can use to assess if RL will be easy or hard in an environment
go.bsky.app/AcP9Lix
go.bsky.app/AcP9Lix
We're still starting up, so expect some rough edges but we've got a few really exciting projects lined up!
We're still starting up, so expect some rough edges but we've got a few really exciting projects lined up!
go.bsky.app/BHKxoss
go.bsky.app/BHKxoss