scientific-computing

Allen Institute for AI (AI2) has released DiScoFormer, a transformer model that estimates both the density and score of any distribution from a sample in a single forward pass without retraining. In 100 dimensions, the model reduces score estimation error by 6.5x and density error by 37x compared to classical kernel density estimation.