Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
Nabeel Seedat(University of Cambridge), Mihaela van der Schaar(University of California, Los Angeles), Fergus Imrie(University of California, Los Angeles), Zhaozhi Qian(University of Cambridge), Alexis Bellot
Cited by 5
Related Papers
Deep Generative Models for 3D Linker Design
|Journal of Chemical Information and Modeling|2020|266
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data
|Journal of Chemical Information and Modeling|2018|138
Deep generative design with 3D pharmacophoric constraints
|Chemical Science|2021|110
Generating property-matched decoy molecules using deep learning
|Bioinformatics|2021|96