Saliency Maps for Deep Learning: Vanilla Gradient, by Andrew Schreiber

Saliency maps have been getting a lot of attention lately. They are a popular visualization tool for gaining insight into why a deep learning model made an individual decision, such as classifying an…

Andrew Schreiber – Medium

The Original CryptoPunk. Reverse engineering the CryptoPunks art…, by Andrew Schreiber

Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening

Saliency Maps for Deep Learning: Vanilla Gradient, by Andrew Schreiber

cs498/homework6/vocab.nips.txt at master · rauhul/cs498 · GitHub

Saliency Maps for Deep Learning: Vanilla Gradient, by Andrew Schreiber

Science Cast

Loading a nib within a storyboard, by Andrew Schreiber, Engineering at Earnest

Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening

Reinforcement Learning Frameworks – An Overview – Cognitive Architect

PDF) Explainability as a Method for Learning From Computers