Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks

Clyde Fare, Lukas Turcani, Edward O. Pyzer-Knapp

Chemical representations derived from deep learning are emerging as a powerful tool in areas such as drug discovery and materials innovation. Currently, this methodology has three…