Patent ID: 11893498
Assignee: INSILICO MEDICINE IP LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer system comprising:
one or more processors;
one or more non-transitory computer readable media storing instructions that in response to being executed by the one or more processors, cause the computer system to perform operations; and
a deep neural network having a trained conditional generative model configured as a variational autoencoder with a learnable prior, wherein the learnable prior is a complex distribution parameterized by a tensor train decomposition,
the operations comprising:
inputting a desired object property into the deep neural network;
obtaining, from the trained conditional generative model, a latent code from a tensor train-induced joint distribution conditioned on the desired object property, which is generated by an encoder of the deep neural network;
generating the object with the desired object property with a decoder of the deep neural network; and
providing the generated object with the desired object property.