公开(公告)号：US20250131279A1

公开(公告)日：2025-04-24

申请号：US18772900

申请日：2024-07-15

Applicant: InstaDeep Ltd

Inventor： Thomas Daniel BARRETT ,  Felix Maxime CHALUMEAU ,  Shikha SURANA ,  Nathan Paul GRINSZTAJN ,  Clement Valentin BONNET ,  Arnu PRETORIUS ,  Alexandre Nathalie R. LATERRE

IPC: G06N3/092

Abstract: Systems, storage mediums comprising instructions, and methods of training a neural network to determine solutions to an optimization problem are provided. The methods involve obtaining training data representing a plurality of instances of an optimization problem, each instance being represented by a set of state parameters. For each instance of the optimization problem, a plurality of solutions are generated, each solution being generated using a neural network conditioned on an N-dimensional vector. Training the neural network conditioned on an N-dimensional vector associated with the highest performing solution is performed. Systems, storage mediums, and methods of using an neural network trained to be conditioned on an N-dimensional vector are also provided. These methods involve a search process for identifying an N-dimensional vector selected from a vector latent space to obtain a solution for the instance of the optimization problem.