Training a StyleGAN from scratch is not helping to quiet the voice in my head telling me to splurge on a 4 GPU machine

When the paper says "details can be found in the Supplementary Information" but there is no supplementary information

Following up on some work by Vijay Pande's group. Retrosynthesis reaction prediction top-1 accuracy boosted to 62% (previously 54.6%) using transformers and SMILES based data augmentation github.com/kheyer/Retrosy…

Mean squared error is derived from maximum likelihood assuming p(y|x) is Gaussian. Are there derivations for loss functions following the same procedure using a different assumed distribution? Specifically something fat tailed, like a Levy distribution

Are there any code samples from the SOM networks from the Deep Learning/DDR1 Kinase paper (nature.com/articles/s4158…)? The SOM networks aren't included in the author's shared code

Mars-GAN #generative

BLACK GOLD #VQGAN #CLIP #generativeart Images AI

MEDITATIONS #CLIP #VQGAN #generativeart Images AI

New paper: an end-to-end approach for learning to simulate coarse-grained molecular dynamics! - Multi-scale GNN - complex systems: polymers and batteries - very long stable rollouts - orders of magnitude faster than classical force fields! arxiv.org/abs/2204.10348 🧵1/n